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| ”öŒ` —Ç•F (“Œ‹ž‘å�E’n�kŒ¤‹†�Š) | ||
| “c’† ’ª (‘å�ã•{—§‘å�E�”ŠwŒn) | ||
| 2 | ‘å‹K–Í‹óŠÔƒf�[ƒ^‚ɑ΂·‚é�C�³‚³‚ꂽLinear Projection | |
| •½–ì •q�O (“ú–{“d‹CДޮ‰ïŽÐ�E�î•ñ�EƒiƒŒƒbƒWŒ¤‹†�Š) | ||
| 3 | ‹óŠÔ�ÄŽŸŽ©ŒÈ‰ñ‹Aƒ‚ƒfƒ‹‚Ì—��”�¶�¬‚Æ‚»‚ê‚ÉŠî‚ÂŽÀŒ± | |
| —ÍŠÛ —C‹I (Œcœä‹`�m‘å�E—��H) | ||
| ŽÄ“c —¢’ö (�iŠ”�jƒf�[ƒ^ƒTƒCƒGƒ“ƒXƒRƒ“ƒ\�[ƒVƒAƒ€�EŒ¤‹†ŠJ”•”) | ||
| 4 | ‘½•Ï—ÊŽž‹óŠÔwaveletƒ‚ƒfƒ‹ | |
| �¼“c ˆÀ�¹ (“Œ–k‘å�EŒo�Ï) | ||
| 5 | ‹óŠÔƒTƒ“ƒvƒŠƒ“ƒO‚ɂ‚¢‚Ä‚Ì�lŽ@‚ƃVƒ~ƒ…ƒŒ�[ƒVƒ‡ƒ“‚É‚æ‚錟�Ø | |
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| 6 | “ú–{‚Ì“à—¤Šˆ’f‘w‚É‚¨‚¯‚é’n�k”�¶ŠÔŠu‚̂΂ç‚‚«‚Ì‹óŠÔ•ª•z�„’è | |
| –쑺 �rˆê (“Œ‹ž�H‹Æ‘å�E�î•ñ—��H) | ||
| ”öŒ` —Ç•F (“�Œv�”—�Œ¤‹†�Š�EƒŠƒXƒN‰ð�Í�í—ªŒ¤‹†ƒZƒ“ƒ^�[) | ||
| 9ŒŽ14“ú(“ú) | 10:00�`12:00 | H‰ï�ê (ˆãŠw•”‚Q�†ŠÙ–{ŠÙ1ŠK �¬�u“°) |
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‹@ŠBŠw�K | |
| “¡àV—m“¿ (“�Œv�”—�Œ¤‹†�Š�E�”—��E�„˜_Œ¤‹†Œn) | ||
| 1 | �‚ŽŸŒ³ƒf�[ƒ^‚ɑ΂·‚é“Á’¥‘I‘ð‚ð—p‚¢‚½‚QŽŸ”»•Ê–@‚ɂ‚¢‚Ä | |
| –î“c ˜a‘P (’}”g‘å�E�”—�•¨Ž¿‰ÈŠw) | ||
| �“ˆ �½ (’}”g‘å�E�”—�•¨Ž¿‰ÈŠw) | ||
| 2 | ƒf�[ƒ^‹óŠÔ‚̋ȗ¦‚Æ‹——£•ÏŒ`‚ð—p‚¢‚½‰ð�ÍŽè–@ | |
| �¬—Ñ Œi (“�Œv�”—�Œ¤‹†�Š�E�”—��E�„˜_Œ¤‹†Œn) | ||
| Wynn Henry, P. (London School of Economics�EDepartment of Statistics) | ||
| 3 | ƒlƒbƒgƒ��[ƒN�¬’·ƒ‚ƒfƒ‹‚É‚¨‚¯‚é—D�æ“I‘I‘ðŠÖ�”‚Æ“K‰ž“x‚Ì“¯Žž�„’è | |
| Pham The Thong (‘å�ã‘å�EŠî‘b�H) | ||
| Sheridan Paul (“Œ‹ž‘å�Eˆã‰ÈŠwŒ¤‹†�Š) | ||
| ‰º•½ ‰pŽõ (‘å�ã‘å�EŠî‘b�H) | ||
| 4 | 4Dƒ‰ƒCƒuƒZƒ‹ƒCƒ��[ƒWƒ“ƒOƒf�[ƒ^“à‚Ì”ñ�í‚É‘½�”‚Ì�×–E‚ðŽ©“®’Ç�Õ‚·‚邽‚߂̋óŠÔ—±ŽqƒtƒBƒ‹ƒ^Žè–@‚ÌŠJ” | |
| �L�£ �C (‹à‘ò‘å�E—��HŒ¤‹†ˆæ) | ||
| “¿‰i ˆ®�« (“�Œv�”—�Œ¤‹†�Š�Eƒf�[ƒ^“¯‰»Œ¤‹†ŠJ”ƒZƒ“ƒ^�[) | ||
| –L“‡ —L (“Œ‹ž‘å�E—�ŠwŒnŒ¤‹†‰È) | ||
| Ž›–{ �F�s (‹ã�B‘å�E—�ŠwŒ¤‹†‰@) | ||
| ‹v‰º �¬•S�‡ (‹ã�B‘å�E—�ŠwŒ¤‹†‰@) | ||
| �ÎŒ´ Œ’ (‹ã�B‘å�E—�ŠwŒ¤‹†‰@) | ||
| ”Ñ–ì —Yˆê (“Œ‹ž‘å�E—�ŠwŒnŒ¤‹†‰È) | ||
| ‹g“c —º (“�Œv�”—�Œ¤‹†�Š�Eƒf�[ƒ^“¯‰»Œ¤‹†ŠJ”ƒZƒ“ƒ^�[) | ||
| 5 | ƒJ�[ƒlƒ‹–§“xŠÖ�”‚Ì‹Ç�Š‹óŠÔ•ÏŒ`‚É‚à‚Æ‚ƒCƒ��[ƒWƒAƒ‰ƒCƒ�ƒ“ƒg | |
| “¿‰i ˆ®�« (“�Œv�”—�Œ¤‹†�Š�Eƒf�[ƒ^“¯‰»Œ¤‹†ŠJ”ƒZƒ“ƒ^�[) | ||
| �L�£ �C (‹à‘ò‘å�E—��HŒ¤‹†ˆæ) | ||
| ‹g“c —º (“�Œv�”—�Œ¤‹†�Š�Eƒf�[ƒ^“¯‰»Œ¤‹†ŠJ”ƒZƒ“ƒ^�[) | ||
| 6 | ”¼‹³Žt•t‚«Šw�K‚É‚¨‚¯‚é‰e‹¿ŠÖ�”‚©‚ç�„’è•û’öŽ®‚Ì�\’z‚ɂ‚¢‚Ä | |
| �ìŠì“c ‰ë‘¥ (‹ã�B‘å�EƒVƒXƒeƒ€�î•ñ‰ÈŠwŒ¤‹†‰@) | ||
| “¡àV —m“¿ (“�Œv�”—�Œ¤‹†�Š�E�”—��E�„˜_Œ¤‹†Œn) | ||
| 9ŒŽ14“ú(“ú) | 10:00�`12:00 | I‰ï�ê (ˆãŠw•”‚Q�†ŠÙ–{ŠÙ3ŠK ‘å�u“°) |
| ƒZƒbƒVƒ‡ƒ“ |
‘½•ϗʉð�Í�i‚P�j | |
| Žë–ì—T (‘å�ã‘å�EŠî‘b�H) | ||
| 1 | ŽUˆí‚µ‚½ƒf�[ƒ^‚ª�¬�Ý‚·‚邯‚«‚̃�ƒoƒXƒg‚ȃNƒ‰ƒXƒ^�[•ª�Í | |
| –ì’à �º•¶ (‘啪Œ§—§ŠÅŒì‰ÈŠw‘å�EŒ’�N�î•ñ‰ÈŠwŒ¤‹†Žº) | ||
| �]Œû �^“§ (“�Œv�”—�Œ¤‹†�Š�E�”—��E�„˜_Œ¤‹†Œn) | ||
| 2 | MAR counterpart‚ɂ‚¢‚Ä | |
| �âŒû �OŽ÷ (‘å�ã‘å�EŠî‘b�H) | ||
| Žë–ì —T (‘å�ã‘å�EŠî‘b�H) | ||
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| ”ª–Ø •¶�� (“Œ‹ž—�‰È‘å�E—��E‰@) | ||
| �£”ö —² (“Œ‹ž—�‰È‘å�E—�) | ||
| 4 | MAR�«‚ƓƗ§�«‚ÌŠÖŒW | |
| �‚ˆä Œ[“ñ (ŠÖ�¼‘å�E�¤) | ||
| 5 | Likelihood Ratio Test for Simultaneous Testing of the Mean Vector and the Covariance Matrix with Two-step Monotone Missing Data | |
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| Žë–ì —T (‘å�ã‘å�EŠî‘b�H) | ||
| �‚–Ø ‹`Ž¡ (ƒTƒmƒtƒB(Š”)�C‘å�ã‘å�EŠî‘b�H) | ||
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| �À’· | “n•Ó”ü’qŽq (Œcœä‹`�m‘å�EŒ’�Nƒ}ƒlƒWƒ�ƒ“ƒg) | |
| 1 | ƒI�[ƒvƒ“ƒf�[ƒ^‚ÌŠT”O‚Æ“ú–{‚ÌŽæ‘g | |
| �AŒ´ Œ[‰î (Œcœä‹`�m‘å�E�î•ñŠÂ‹«Šw•”) | ||
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| 9ŒŽ14“ú(“ú) | 13:00�`15:00 | B‰ï�ê (Œo�ÏŠwŒ¤‹†‰È“�’n‰º1ŠK ‘æ1‹³Žº) |
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| �À’· | �¼ˆä–ΔV (–¼ŒÃ‰®‘å�Eˆã) | |
| 1 | Multiple Imputation–@‚É‚æ‚éƒlƒXƒeƒbƒhƒP�[ƒXƒRƒ“ƒgƒ��[ƒ‹Œ¤‹†�CƒP�[ƒXƒRƒz�[ƒgŒ¤‹†‚̉ð�Í | |
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| 9ŒŽ14“ú(“ú) | 13:00�`14:20 | C‰ï�ê (Œo�ÏŠwŒ¤‹†‰È“�3ŠK ‘æ2‹³Žº) |
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| �À’· | �Xˆê�« (“Œ‹ž‘å�E‹³—{) | |
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| �X ˆê�« (“Œ‹ž‘å�E‘��‡•¶‰») | ||
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| ˆ¤àV —D (‹ã�B�H‹Æ‘å�E�î•ñ�HŠw ) | ||
| –ìŒû ˜a‹v (‹ã�B�H‹Æ‘å�E�î•ñ�HŠw ) | ||
| �쑺 Œš‹I (’†‰›‘å�E—��H) | ||
| œA�£ ‰p—Y (‹ã�B�H‹Æ‘å�E�î•ñ�HŠw ) | ||
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| �À’· | ’|“àœ¨�s (‘å�ã‘å�EŒo�Ï) | |
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| ‹g“c ‹v’j (‹ã�B‘å�E�”—�) | ||
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| 4 | “ÁˆÙ’l�k�¬Œ^Ž–‘O•ª•z‚É‚æ‚éƒxƒCƒY—\‘ª | |
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| ‹î–Ø •¶•Û (“Œ‹ž‘å�E�î•ñ—��H) | ||
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| ‘«—§ �_•½ (‘å�ã‘å�E�lŠÔ‰ÈŠw) | ||
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| “c”¨ �kŽ¡ (“Œ‹ž—�‰È‘å�E—��H) | ||
| •xàV ’å’j (“Œ‹ž—�‰È‘å�E—��H) | ||
| 9ŒŽ14“ú(“ú) | 13:00�`15:00 | E‰ï�ê (�¬“‡ƒz�[ƒ‹2ŠK ƒRƒ“ƒtƒ@ƒŒƒ“ƒXƒ‹�[ƒ€) |
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| 6 | Interactive theorem proving of probabilistic conditional independence relations using Coq/ SSReflect | |
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| ‹g‰H —v’¼ (“ú–{‹â�s�E‹à—Z‹@�\‹Ç) | ||
| 3 | ||
| �ìŒû �@‹I ((Š”)ŽO•HUFJƒgƒ‰ƒXƒg“ŠŽ‘�HŠwŒ¤‹†�Š�EŒ¤‹†•”) | ||
| 4 | ƒŠƒXƒNŒv‘ªƒ‚ƒfƒ‹‚̃oƒbƒNƒeƒXƒg–@‚ɂ‚¢‚Ä | |
| ’ËŒ´ ‰p“Ö (�¬�é‘åŠw�EŒo�Ï) | ||
| 9ŒŽ14“ú(“ú) | 13:00�`15:00 | G‰ï�ê (ˆãŠw•”‚P�†ŠÙ3ŠK �u“°) |
| ƒZƒbƒVƒ‡ƒ“ |
ƒxƒCƒY“�Œv | |
| �À’· | ‹î–Ø•¶•Û (“Œ‹ž‘å�E�î•ñ—��H) | |
| 1 | ‚ ‚é�¬�‡‚̉º‚ł̃xƒCƒXƒ‚ƒfƒ‹‚Ì–Þ“x | |
| –ö–{ •�”ü (’†‰›‘å�E—��H) | ||
| ‘å�¼ �r˜Y (‹ã�B‘å�EŒo�Ï) | ||
| 2 | Bayesƒ‚ƒfƒ‹•½‹Ï‚É‚¨‚¯‚é–Þ“x‚ƃGƒ“ƒgƒ�ƒs�[‚Ì‘o‘Î�« | |
| ‘å�¼ �r˜Y (‹ã�B‘å�EŒo�Ï) | ||
| –ö–{ •�”ü (’†‰›‘å�E—��H) | ||
| 3 | ƒ[ƒ�‰ß�胂ƒfƒ‹‚É‚¨‚¯‚é‹qŠÏŽ–‘O•ª•z‚Ì“±�o | |
| “c•Ó —³ƒm‰î (‘å�ã‘å�EŠî‘b�H) | ||
| ŒF’J ‰x�¶ (‘å�ã‘å�EŠî‘b�H) | ||
| 4 | ŒoŒ±ƒxƒCƒY�„’è—Ê‚Ì�ðŒ�•t‚«MSE‚Æ‚»‚Ì�¬’nˆæ�„’è‚ւ̉ž—p | |
| �›àV ãÄ”V�• (“Œ‹ž‘å�EŒo�Ï) | ||
| ‹v•Û�ì ’B–ç (“Œ‹ž‘å�EŒo�Ï) | ||
| 5 | —ÊŽq‘ª’è‚ÉŠÖ‚·‚éƒ~ƒjƒ}ƒbƒNƒX’è—� | |
| “c’† “~•F (‘å�ã‘å�EŠî‘b�H) | ||
| 6 | —\‘ª•ª•z‚ðƒxƒCƒY—\‘ª•ª•z‚Ì‹óŠÔ‚Ɏˉe‚·‚锽•œƒAƒ‹ƒSƒŠƒYƒ€ | |
| ‹î–Ø •¶•Û (“Œ‹ž‘å�E�î•ñ—��H) | ||
| 9ŒŽ14“ú(“ú) | 13:00�`15:00 | H‰ï�ê (ˆãŠw•”‚Q�†ŠÙ–{ŠÙ1ŠK �¬�u“°) |
| ƒZƒbƒVƒ‡ƒ“ |
ƒf�[ƒ^ƒ}ƒCƒjƒ“ƒO | |
| �À’· | �´�…�M•v (“�Œv�”—�Œ¤‹†�Š�Eƒf�[ƒ^‰ÈŠwŒ¤‹†Œn) | |
| 1 | 1ƒNƒ‰ƒXƒTƒ|�[ƒgƒxƒNƒ^�[ƒ}ƒVƒ“‚ÉŠî‚–œ—t’Z‰Ì‚Ì•M˜^ŽÒ“¯’è | |
| �ì–ì �Gˆê (‘å�ã•{—§‘å�E�H) | ||
| ‰Á“¡ �x“T (‘å�ã•{—§‘å�E�H) | ||
| �ã‹Ê—˜ ‰l‘¾ (•ºŒÉŒ§—§—´–ì–k�‚“™Šw�Z) | ||
| —› Œh”ü (‘å�ã•{—§‘å�E�lŠÔŽÐ‰ï) | ||
| �ã�ã –] (‘å�ã•{—§‘å�E�lŠÔŽÐ‰ï) | ||
| ‘º“c ‰E•xŽÀ (‘å�ã•{—§‘å�E�lŠÔŽÐ‰ï) | ||
| 2 | WBIC‚ð—p‚¢‚½ƒ‚ƒfƒ‹‘I‘ð‚Å�\’z‚³‚ꂽ�ó‘Ô‹óŠÔƒ‚ƒfƒ‹‚É‚æ‚é�L��Œø‰Ê•ª�Í | |
| �¡ˆä “O (Дޮ‰ïŽÐALBERT / ‘��‡Œ¤‹†‘åŠw‰@‘å�Eƒf�[ƒ^•ª�Í•” / •¡�‡‰ÈŠwŒ¤‹†‰È) | ||
| 3 | ƒAƒ\ƒVƒG�[ƒVƒ‡ƒ“•ª�͂̈ã–ò•i•›�ì—p•ñ��ƒf�[ƒ^ƒx�[ƒX‚Ö‚Ì“K—p | |
| “¡Œ´ �³˜a (‰––ì‹`�»–ò(Š”)�E‰ð�̓Zƒ“ƒ^�[) | ||
| “n•Ó �G�Í (‰––ì‹`�»–ò(Š”)�E‰ð�̓Zƒ“ƒ^�[) | ||
| “s’n �º•v (‰––ì‹`�»–ò(Š”)�E‰ð�̓Zƒ“ƒ^�[) | ||
| –k�¼ —R•� (‰––ì‹`�»–ò(Š”)�E‰ð�̓Zƒ“ƒ^�[) | ||
| 4 | ƒXƒiƒbƒvƒVƒ‡ƒbƒg�iŽÊ�^�j�E‘®�«�EˆÊ’u�EƒeƒLƒXƒg‚Ì‚S‚‘gƒf�[ƒ^‚ð“��‡‚µ‚½SALoTƒ}ƒbƒv–@‚©‚ç’Š�o‚³‚ꂽ ŠeƒOƒ‹�[ƒv‚Ì•ûŒü—]Œ·•ûŒü‚Ì’PŒêƒXƒRƒA‚ÅŽ¦‚³‚ꂽŠeƒOƒ‹�[ƒv‚̈ó�Û‚Ì�W�‡’m |
|
| ‘å�X �G (“Œ‹ž‘å�E”_Šw�¶–½‰ÈŠw) | ||
| ‰H�¶ ˜a‹I (“ú–{‘å�E•¶—�) | ||
| ŽR‰º ‰ëŽq (“Œ‹ž—L–¾ˆã—ÑåŠw�EŠÅŒì) | ||
| 5 | ƒrƒbƒOƒf�[ƒ^‘Ήž‚Ì“ñƒNƒ‰ƒX•ª—ÞKY(K-step Yard sampling)–@‚ÌŠJ”‚Æ“WŠJ | |
| “’“c �_‘¾˜Y (Дޮ‰ïŽÐ�@ƒCƒ“ƒVƒŠƒRƒf�[ƒ^�EƒR�[ƒ|ƒŒ�[ƒg•”) | ||
| 6 | ƒJƒeƒSƒŠ�[•Ï�”‚ð‚à‚Â�W–ñ“IƒVƒ“ƒ{ƒŠƒbƒNƒf�[ƒ^‚Ì”ñ—ÞŽ—“x | |
| �´�… �M•v (“�Œv�”—�Œ¤‹†�Š�Eƒf�[ƒ^‰ÈŠwŒ¤‹†Œn) | ||
| ’†–ì �ƒŽi (“�Œv�”—�Œ¤‹†�Š�Eƒ‚ƒfƒŠƒ“ƒOŒ¤‹†Œn) | ||
| ŽR–{ —R˜a (“¿“‡•¶—�‘å�E—��H) | ||
| “¡Œ´ �äŽj (“Œ‹ž�î•ñ‘å�E‘��‡�î•ñ) | ||
| 9ŒŽ14“ú(“ú) | 13:00�`15:00 | I‰ï�ê (ˆãŠw•”‚Q�†ŠÙ–{ŠÙ3ŠK ‘å�u“°) |
| ƒZƒbƒVƒ‡ƒ“ |
ƒ‚ƒfƒ‹‘I‘ð�i‚P�j | |
| �À’· | ‰œ‘º‰p‘¥ (’†�‘’ZŠú‘å�E�î•ñƒrƒWƒlƒX) | |
| 1 | ƒXƒp�[ƒX�³‘¥‰»‚ɊÖ�”‘½•ϗʉñ‹Aƒ‚ƒfƒ‹‚Ì�„’è | |
| �¼ˆä �G�r (‹ã�B‘å�E‘åŠw‰@�”—�ŠwŒ¤‹†‰@) | ||
| 2 | �‚ŽŸŒ³‚Ì�ê�‡‚É‚¨‚¯‚鎟Œ³‚Ì�„’è–@‚Æ‘Q‹ß“I�«Ž¿ | |
| ŸNˆä “N˜N (�z–K“Œ‹ž—�‰È‘å�E‹¤’Ê‹³ˆçƒZƒ“ƒ^�[) | ||
| “¡‰z �N�j (�L“‡‘å�E—�) | ||
| 3 | ‰ñ‹Aƒ‚ƒfƒ‹‚É‚¨‚¯‚é”±‘¥•t‚«–Þ“x‚ÉŠî‚•Ï�”‘I‘ð–@ | |
| ‰œ‘º ‰p‘¥ (’†�‘’ZŠú‘å�E�î•ñƒrƒWƒlƒX) | ||
| 4 | ”ñ�³‹K�«‚̉º‚Å‚Ì�‚ŽŸŒ³�³�€‘ŠŠÖ•ª�͂̂½‚ß‚Ì AIC ‹K�€—ʂ̈ê’v�« | |
| •Ÿˆä Œh—S (�L“‡‘å�E—�) | ||
| 5 | LASSO‚É‚æ‚é•Ï�”‘I‘ð‚Ì‚½‚ß‚ÌAIC | |
| “ñ‹{ ‰Ã�s (‹ã�B‘å�Eƒ}ƒX�EƒtƒHƒA�EƒCƒ“ƒ_ƒXƒgƒŠŒ¤‹†�Š) | ||
| �ì–ì �Gˆê (‘å�ã•{—§‘å�E�H) | ||
| 6 | �‚ŽŸŒ³‰ÂŽ‹‰»ŠÂ‹«TextilePlot‚É‚æ‚éƒ_ƒCƒiƒ~ƒbƒN‚ȉñ‹A�f’f | |
| ’‡ �^‹| ((Š”)ƒf�[ƒ^ƒTƒCƒGƒ“ƒXƒRƒ“ƒ\�[ƒVƒAƒ€�EŒ¤‹†ŠJ”•”) | ||
| ‰¡“à ‘å‰î (ˆê‹´‘å�E�‘�ÛŠé‹Æ�í—ªŒ¤‹†‰È) | ||
| ŽÄ“c —¢’ö ((Š”)ƒf�[ƒ^ƒTƒCƒGƒ“ƒXƒRƒ“ƒ\�[ƒVƒAƒ€�EŒ¤‹†ŠJ”•”) | ||
| 9ŒŽ14“ú(“ú) 15:30�`17:30
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| 9ŒŽ14“ú(“ú) | 15:30�`17:30 | A‰ï�ê (‹³ˆçŠw•”“�1ŠK 156�u‹`Žº) |
| ƒZƒbƒVƒ‡ƒ“ |
Šé‰æƒZƒbƒVƒ‡ƒ“�Fƒf�[ƒ^’†�S��ô‰ÈŠw‚ÌŽÀ‘H‚Æ“WŠJ | |
| ƒI�[ƒKƒiƒCƒU�[ | –k�쌹Žl˜Y (�î•ñ�EƒVƒXƒeƒ€Œ¤‹†‹@�\) | |
| ’Ö�LŒv (“�Œv�”—�Œ¤‹†�Š�Eƒf�[ƒ^‰ÈŠwŒ¤‹†Œn) | ||
| �À’· | ’Ö�LŒv (“�Œv�”—�Œ¤‹†�Š�Eƒf�[ƒ^‰ÈŠwŒ¤‹†Œn) | |
| 1 | ƒf�[ƒ^’†�S��ô‰ÈŠw�|‰ä‚ª�‘‚ÌŽæ‘g‚Ý‚Æ�î•ñ�EƒVƒXƒeƒ€Œ¤‹†‹@�\ƒvƒ�ƒWƒFƒNƒg | |
| ’Ö �LŒv (“�Œv�”—�Œ¤‹†�Š�Eƒf�[ƒ^‰ÈŠwŒ¤‹†Œn) | ||
| –k�ì Œ¹Žl˜Y (�î•ñ�EƒVƒXƒeƒ€Œ¤‹†‹@�\�E�V—̈æ—Z�‡Œ¤‹†ƒZƒ“ƒ^�[) | ||
| 2 | –@–±�ÈŽ®ƒP�[ƒXƒAƒZƒXƒ�ƒ“ƒgƒc�[ƒ‹�i‚l‚i‚b‚`�j | |
| �¬—Ñ –œ—m (”ª‰¤Žq�”NŠÓ•Ê�Š) | ||
| �¼“c “ÄŽj (–@–±�È�E‹¸�³‹Ç�”N‹¸�³‰Û) | ||
| �X �ä‹| (�b“ì�—Žq‘åŠw�E�lŠÔŠw•”) | ||
| 3 | ’nˆæ‚²‚Ƃ̌´ˆö�E“®‹@•ÊŽ©ŽE“�Œv‚ÉŠî‚Ã‚Ž©ŽE—\–h‘��‡‘Î�ô‚ׂ̈̎©ŽEƒŠƒXƒN‚ÉŠÖ‚·‚錤‹† | |
| ‹v•Û“c ‹M•¶ (‘½–€‘åŠw�EŒo‰c�î•ñŠw•”) | ||
| ’Ö �LŒv (“�Œv�”—�Œ¤‹†�Š�EƒŠƒXƒN‰ð�Í�í—ªŒ¤‹†ƒZƒ“ƒ^�[) | ||
| 4 | ƒf�[ƒ^’†�SŠÏŒõ��ô | |
| ’Óc ”ŽŽj (“¯ŽuŽÐ‘å�E—��H) | ||
| 9ŒŽ14“ú(“ú) | 15:30�`17:30 | B‰ï�ê (Œo�ÏŠwŒ¤‹†‰È“�’n‰º1ŠK ‘æ1‹³Žº) |
| ƒZƒbƒVƒ‡ƒ“ |
ˆãŠw“�Œv | |
| �À’· | ‘å’ë�KŽ¡ (“Œ‹ž‘å�Eˆã) | |
| 1 | ƒ^ƒC‚Ì‚ ‚é�ê�‡‚ÌWilcoxon�‡ˆÊ˜aŒŸ’è | |
| �¼ˆä �´ | ||
| Šâ�è ˆê˜Y (–kŠC�¤‰È‘åŠw�E�¤) | ||
| 2 | —LŒÀ�ó‘Ôƒ}ƒ‹ƒRƒt˜A�½ƒ‚ƒfƒ‹‚É‚¨‚¯‚é�ó‘Ô•ª•z‚Ì�«—ˆ—\‘ª‚Æ�„’è�¸“x | |
| �H“c ’q”V (�L“‡‘å�Eˆã) | ||
| ‘å‹v �^�K (�L“‡‘å�Eˆã) | ||
| �â�@ ˜a–¾ (�L“‡‘å�Eˆã) | ||
| “c’† �ƒŽq (�L“‡‘å�Eˆã) | ||
| 3 | Consistent estimators of a concordance probability for doubly-censored time-to-event responses | |
| —Ñ Œ«ˆê (‘å�ã‘å�Eˆã) | ||
| �´�… ‘×—² (‘�ˆî“c‘å�E—��H) | ||
| 4 | �Á‰»Ší޾г—̈æ‚É‚¨‚¢‚ÄŠ³ŽÒ“úŽ�‚©‚ç�Ç�ó�Áޏ‚ÌŽ¡—ÃŒø‰Ê‚ð�„‘ª‚·‚é“�Œvƒ‚ƒfƒ‹‚ÌŒŸ“¢ | |
| �‚“c —��_ (–¡‚Ì‘f�»–òДޮ‰ïŽÐ�E—Õ�°ŠJ”•”) | ||
| ’OŒã �r˜Y (ˆãŠw“�ŒvŠwŒ¤‹†ƒZƒ“ƒ^�[�EƒZƒ“ƒ^�[’·) | ||
| 5 | �f’f—”]‰æ‘œ�|ˆâ“`Žq‚Ì“¯ŽžŠÖ˜A‰ð�Í–@ | |
| �ìŒû �~ (‹ž“s‘å�Eˆã) | ||
| 6 | �üŒ`�\‘¢•½‹Ïƒ‚ƒfƒ‹‚É‚¨‚¯‚é“K�‡�«ŒŸ’è‚ɂ‚¢‚Ă̌Ÿ“¢ | |
| ˜a�ò Žu’ÃŒb (‘啪‘å�E�H) | ||
| “cŒI �³—² (‰¡•lŽs—§‘å�Eˆã) | ||
| 9ŒŽ14“ú(“ú) | 15:30�`17:30 | C‰ï�ê (Œo�ÏŠwŒ¤‹†‰È“�3ŠK ‘æ2‹³Žº) |
| ƒZƒbƒVƒ‡ƒ“ |
Šé‰æƒZƒbƒVƒ‡ƒ“�F“ú–{•ª—ÞŠw‰ïƒVƒ“ƒ|ƒWƒEƒ€�FŽå�¬•ª•ª�͂̊g’£‚Æ�V“WŠJ | |
| ƒI�[ƒKƒiƒCƒU�[ | ‘«—§�_•½ (‘å�ã‘å�E�lŠÔ‰ÈŠw) | |
| �À’· | ‘«—§�_•½ (‘å�ã‘å�E�lŠÔ‰ÈŠw) | |
| ”n�ê �NˆÛ (“�Œv�”—�Œ¤‹†�Š�E“�ŒvŽv�l‰@) | ||
| 1 | �S—�‘ª’è‚É‚¨‚¯‚éŽå�¬•ª•ª�͂̎g—p‚ÆŽåƒNƒ‰ƒXƒ^�[�¬•ª•ª�Í | |
| ‘º�ã —² (’†‹ž‘åŠw�@�EŒ»‘ãŽÐ‰ïŠw•”) | ||
| 2 | ”ñŒv—ÊŽå�¬•ª•ª�͂ɂ¨‚¯‚éŒðŒÝ�Å�¬“ñ�æ–@‚Æ‚»‚̉Á‘¬‰» | |
| �•“c �³”Ž (‰ªŽR—�‰È‘å�E‘��‡�î•ñ) | ||
| �X —Tˆê (‰ªŽR—�‰È‘å�E‘��‡�î•ñ) | ||
| ”Ñ’Ë �½–ç (‰ªŽR‘å�EƒAƒhƒ~ƒbƒVƒ‡ƒ“ƒZƒ“ƒ^�[) | ||
| �匴 “¹•v (‰ªŽR—�‰È‘å�E‘��‡�î•ñ) | ||
| 3 | ŽO‘ŠŽå�¬•ª•ª�͂̊K‘wŠÖŒW‚Æ�V“WŠJ | |
| ‘«—§ �_•½ (‘å�ã‘å�E�lŠÔ‰ÈŠw) | ||
| ’†‘º —TŽq (‘å�ã‘å�E�lŠÔ‰ÈŠw) | ||
| ’r–{ ‘åŽ÷ (‘å�ã‘å�E�lŠÔ‰ÈŠw) | ||
| 4 | ƒVƒ“ƒ{ƒŠƒbƒNƒf�[ƒ^‰ð�Í‚¨‚æ‚ÑŠÖ�”ƒf�[ƒ^‰ð�͂ɂ¨‚¯‚鎟Œ³�k�¬ — ƒrƒbƒOƒf�[ƒ^Žž‘ã‚ÌŽŸŒ³�k�¬ — | |
| �…“c �³�O (–kŠC“¹‘å�E�î•ñŠî”ÕƒZƒ“ƒ^�[) | ||
| 9ŒŽ14“ú(“ú) | 15:30�`17:30 | D‰ï�ê (�Ô–å‘��‡Œ¤‹†“�2ŠK 200�u‹`Žº) |
| ƒZƒbƒVƒ‡ƒ“ |
ƒRƒ“ƒyƒeƒBƒVƒ‡ƒ“ƒZƒbƒVƒ‡ƒ“�i‚R�j | |
| �À’· | ŽRŒû˜a”Í (—§‹³‘å�EŒo‰c) | |
| 1 | ƒ‚ƒfƒ‹‚Ɋf�[ƒ^ƒs�[ƒŠƒ“ƒO–@‚ÌŠJ”‚Æ‚»‚Ì•]‰¿ | |
| �X ‘åŽ÷ (ŽR—œ‘åŠw�E‘åŠw‰@ˆãŠw�HŠw‘��‡‹³ˆç•”) | ||
| ‰º�ì •q—Y (ŽR—œ‘åŠw�E‘åŠw‰@ˆãŠw�HŠw‘��‡Œ¤‹†•”) | ||
| 2 | ƒfƒBƒKƒ“ƒ}ŠÖ�”‚ªŠÖ‚í‚é”ñ‘Î�̃J�[ƒlƒ‹–§“x�„’è‚ɂ‚¢‚Ä | |
| ŒÜ�\—’ Šx (–kŠC“¹‘å�EŒo�Ï) | ||
| 3 | �‚ŽŸŒ³�¬•W–{ƒf�[ƒ^‚ɑ΂·‚é�s—ñŽ®“_‰ß’ö‚ð—p‚¢‚½ƒxƒCƒY“I•Ï�”‘I‘ð•û–@ | |
| �¬“‡ –rŒŽ (“Œ‹ž‘å�E�î•ñ—��H) | ||
| ‹î–Ø •¶•Û (“Œ‹ž‘å�E�î•ñ—��H) | ||
| 4 | GIT(3,1)•ª•z‚ÌŠg’£ | |
| ˆä–{ ’q–¾ (“�Œv�”—�Œ¤‹†�Š�EƒŠƒXƒN‰ð�Í�í—ªŒ¤‹†ƒZƒ“ƒ^�[) | ||
| 5 | ƒ‰ƒ“ƒ_ƒ€‚ȃGƒ“ƒgƒŠ�[ŽžŠÔ‚ðŽ�‚Â�¶‘¶ŠÖ�”‚Ì�„’è | |
| ˆ¢•” ‹» (’†‰›‘å�E—��H) | ||
| Š™‘q –«�¬ (’†‰›‘å�E—��H) | ||
| 6 | �³’è’lƒJ�[ƒlƒ‹‚ð—p‚¢‚½�ðŒ�•t‚«Šm—¦–§“x�„’è | |
| ‹à�ì Œ³�M (‘��‡Œ¤‹†‘åŠw‰@‘å�E•¡�‡‰ÈŠw) | ||
| —é–Ø ‘厜 (“Œ‹ž�H‹Æ‘å�E�î•ñ—��H) | ||
| •Ÿ�… Œ’ŽŸ (“�Œv�”—�Œ¤‹†�Š�E�”—��E�„˜_) | ||
| 9ŒŽ14“ú(“ú) | 15:30�`17:10 | E‰ï�ê (�¬“‡ƒz�[ƒ‹2ŠK ƒRƒ“ƒtƒ@ƒŒƒ“ƒXƒ‹�[ƒ€) |
| ƒZƒbƒVƒ‡ƒ“ |
“�Œv—�˜_ˆê”Ê�i‚Q�j | |
| �À’· | •z”\‰pˆê˜Y (ŠÖ“ŒŠw‰@‘å�EŒo�Ï) | |
| 1 | Pooling incomplete samples ‚̉º‚Å‚Ì�î•ñ“�Œv‚ɂ‚¢‚Ä | |
| •z”\ ‰pˆê˜Y (ŠÖ“ŒŠw‰@‘å�EŒo�Ï) | ||
| 2 | Applications of the Holonomic Gradient Method to the Performance Analysis and Evaluation of Wireless Systems | |
| Siriteanu Constantin (‘å�ã‘å�E�î•ñ‰ÈŠw) | ||
| ŒI–Ø “N (“�Œv�”—�Œ¤‹†�Š�E�”—��E�„˜_Œ¤‹†Œn) | ||
| ’|‘º �²’Ê (“Œ‹ž‘å�E�î•ñ—��H) | ||
| 3 | Repulsive Parallel MCMC ƒAƒ‹ƒSƒŠƒYƒ€‚É‚æ‚鉖Šî”z—ñ‚̃‚ƒ`�[ƒt’T�õ | |
| ’r’[ ‹v‹M (‘��‡Œ¤‹†‘åŠw‰@‘å�E•¡�‡‰ÈŠwŒ¤‹†‰È“�Œv‰ÈŠw�ê�U) | ||
| ‹g“c —º (“�Œv�”—�Œ¤‹†�Š�Eƒ‚ƒfƒŠƒ“ƒOŒ¤‹†Œn) | ||
| 4 | Žõ–½—\‘ª‚Ì‚½‚߂̃Iƒ“ƒ‰ƒCƒ“ƒ‚ƒjƒ^ƒŠƒ“ƒOƒf�[ƒ^‚ÌŽžŠÔŽÚ“x‚ɂ‚¢‚Ä | |
| ŽR–{ � (“d‹C’Ê�M‘å�E�î•ñ—��H) | ||
| 5 | �‚‹óŠÔ•ª‰ð”\‚ðŽ�‚Â’n�k“®•ª•z‚ð�„’è‚·‚邽‚߂̃Aƒ‹ƒSƒŠƒYƒ€ŠJ” | |
| ’·”ö ‘哹 (“Œ‹ž‘å�E’n�kŒ¤‹†�Š) | ||
| �…”— Šo�M (“Œ‹ž‘å�E’n�kŒ¤‹†�Š) | ||
| ‰Á”[ �«�s (“Œ‹ž‘å�E’n�kŒ¤‹†�Š) | ||
| –x �@˜N (“Œ‹ž‘å�E’n�kŒ¤‹†�Š) | ||
| œA�£ Œd (‘å�ã‘å�EŠî‘b�H) | ||
| 9ŒŽ14“ú(“ú) | 15:30�`17:30 | F‰ï�ê (ˆãŠw•”‚P�†ŠÙ1ŠK �u“°) |
| ƒZƒbƒVƒ‡ƒ“ |
Œo�Ï�EŒo‰c“�Œv | |
| �À’· | ‹´–{‹IŽq (ŠÖ�¼‘å�EŒo�Ï) | |
| 1 | �ŋ߂̉ƌvŽûŽxŠÖ˜A“�Œv’²�¸Œ‹‰Ê‚Ì�¸“x‚ɂ‚¢‚Ä | |
| ŽR“c –Î (�‘ŽmŠÚ‘å�E�Œo) | ||
| 2 | ‹Î˜JŽÒ�¢‘т̎x�o�s“®‚ɕω»‚Í�¶‚¶‚Ä‚¢‚é‚© �@�[�u‰ÆŒv’²�¸�vŒŽŽŸƒf�[ƒ^‚É‚¨‚¯‚é•ω»“_‚ÌŒŸ�o | |
| ‹´–{ ‹IŽq (ŠÖ�¼‘å�EŒo�Ï) | ||
| �r–Ø �FŽ¡ (ŠÖ�¼‘å�E�¤) | ||
| 3 | ”F’m“I�EŠ´�î“I�M—Š‚ÌŠT”O˜g‘g‚Ý�AŽÚ“x�AŽŸŒ³�\‘¢�F“ú–{‚Æ’†�‘‚̃f�[ƒ^‚ð—p‚¢‚Ä | |
| —« ”| (�_ŒË‘å�EŒo‰cŠÇ—�) | ||
| 4 | �ãŽi‚ɑ΂·‚é”F’m“I�EŠ´�î“I�M—Š‚Ì“ú’†”äŠr�F‚»‚̉ºˆÊŽŸŒ³ƒ‚ƒfƒ‹�A‚¨‚æ‚Ñ�]‹Æˆõ‚Ì�iŽæ“I�s“®‚É‹y‚Ú‚·‰e‹¿ | |
| —« ”| (�_ŒË‘å�EŒo‰cŠÇ—�) | ||
| 5 | �«•Ê�E�¢‘ã•Ê�E‰ðŒÙŒoŒ±‚Ì—L–³•ʂɂ݂½�A‹Æ�s“®‚Æ’À‹àƒvƒ�ƒtƒ@ƒCƒ‹�F‚‚炵‚ÆŽdŽ–‚ÉŠÖ‚·‚é’²�¸�iLOSEFƒCƒ“ƒ^�[ƒlƒbƒg’²�¸�j ŒÂ•[ƒf�[ƒ^‚ð—p‚¢‚½•ª�Í |
|
| ˆîŠ_ �½ˆê (“Œ‹ž�H‹Æ‘å�E‘åŠw‰@ƒCƒmƒx�[ƒVƒ‡ƒ“ƒ}ƒlƒWƒ�ƒ“ƒgŒ¤‹†‰È) | ||
| 6 | ˜J“—Í’²�¸‚ÌŒp‘±•W–{‚©‚ç‚Ý‚½�A‹Æƒ}ƒbƒ`ƒ“ƒO‚ÉŠÖ‚·‚éŽÀ�Ø•ª�Í | |
| ’·”ö �Lˆê (‘�–±�È�E“�Œv‹Ç) | ||
| 9ŒŽ14“ú(“ú) | 15:30�`17:10 | G‰ï�ê (ˆãŠw•”‚P�†ŠÙ3ŠK �u“°) |
| ƒZƒbƒVƒ‡ƒ“ |
“�Œv‹³ˆç | |
| �À’· | ’|“àŒõ‰x (ŽÀ‘H�—Žq‘åŠw�E�lŠÔŽÐ‰ïŠw•”) | |
| 1 | Œo�Ï�¬’·‚ð’S‚¤�gƒf�[ƒ^ƒTƒCƒGƒ“ƒX�h—Í‚Ì�‚‚¢�l�Þˆç�¬‚ɂ‚¢‚Ä | |
| ‰iˆä ŒbŽq (‘�–±�È�E“�Œv‹Ç) | ||
| Šâ–ì ”ü•ÛŽq (‘�–±�È�E“�Œv‹Ç) | ||
| 2 | �‚“™‹³ˆç‚É‚¨‚¯‚é“�Œv‹³ˆç‚Ö‚Ì”½“]Žö‹Æ‚Ì“±“ü | |
| ’|“à Œõ‰x (ŽÀ‘H�—Žq‘å�E�lŠÔŽÐ‰ï) | ||
| 3 | ‘¢Œ`‰»‚ÉŠú‘Ò‚³‚ê‚éƒf�[ƒ^‰ð�͂̕\Œ» | |
| �HŒ³ —Ç—F (’†‰›‘å�E—��H) | ||
| Š™‘q –«�¬ (’†‰›‘å�E—��H) | ||
| –ö–{ •�”ü (’†‰›‘å�E—��H) | ||
| 4 | “�Œv‰ÈŠwŠE‚É‚¨‚¯‚é‹@‰^�ã�¸‚ÌŽÀ‘œ | |
| –؉º ”Ž”V (Œo�Ï‘��‡•ª�Í(Š”)�E‘�–±•”) | ||
| 5 | ‰ñ‹Aƒf�[ƒ^‚Æ�„’è‰ñ‹AŽ®‚Ì�®�‡�«‚ɂ‚¢‚Ä | |
| “c’† �_Œõ (ˆ¤’mŠw‰@‘å�EŒo‰c) | ||
| 9ŒŽ14“ú(“ú) | 15:30�`17:30 | H‰ï�ê (ˆãŠw•”‚Q�†ŠÙ–{ŠÙ1ŠK �¬�u“°) |
| ƒZƒbƒVƒ‡ƒ“ |
ŽžŒn—ñ‰ð�Í�E�§Œä—�˜_ | |
| �À’· | �‘—F’¼�l (“Œ‹ž‘å�EŒo�Ï) | |
| 1 | t•ª•z‚̃Cƒmƒx�[ƒVƒ‡ƒ“‚ðŽ�‚ÂARMAƒ‚ƒfƒ‹‚Ì�„’è‚ɂ‚¢‚Ä | |
| �¼”W �°‹v (�ç—t‘å�E–@�ŒoŠw•”) | ||
| 2 | ”ñ’è�íŒo�ÏŽžŒn—ñ‚Æ•Ï�”Œë�·–â‘è | |
| �‘—F ’¼�l (“Œ‹ž‘å�EŒo�Ï) | ||
| �²“¡ �®�® (“Œ‹ž‘å�EŒo�Ï) | ||
| 3 | SNS“Š�e�”ŽžŒn—ñƒf�[ƒ^‚ׂ̂«Œ¸�Šƒ‚ƒfƒ‹ | |
| “¡ŽR �r•¶ (“Œ‹ž‘å�E�î•ñ—��H) | ||
| �¼ˆä �ç�q (“Œ‹ž‘å�E�î•ñ—��H) | ||
| ’|‘º �²’Ê (“Œ‹ž‘å�E�î•ñ—��H) | ||
| 4 | ’nŠkŠˆ“®‚©‚ç‚̉ñ‹Aƒ‚ƒfƒ‹‚É‚æ‚é’n�kŠˆ“®‹“x‚Ì�„’è�F‰ÎŽR’n‘тł̌Q”’n�k‚Ì—\‘ª‚ð�l‚¦‚é | |
| ŒFàV ‹M—Y (“�Œv�”—�Œ¤‹†�Š�EƒŠƒXƒN‰ð�Í�í—ªŒ¤‹†ƒZƒ“ƒ^�[) | ||
| ”öŒ` —Ç•F (“�Œv�”—�Œ¤‹†�Š�Eƒ‚ƒfƒŠƒ“ƒOŒ¤‹†Œn) | ||
| –Ø‘º ˆê—m (‹C�ÛŒ¤‹†�Š�E’n�k‰ÎŽRŒ¤‹†•”) | ||
| ‘O“c Œ›“ñ (‹C�ÛŒ¤‹†�Š�E’n�k’ÔgŒ¤‹†•”) | ||
| �¬—Ñ �º•v (‹C�ÛŒ¤‹†�Š�E’n�k‰ÎŽRŒ¤‹†•”) | ||
| 5 | ƒ\ƒuƒŠƒ“CDS‚̕ϓ®�\‘¢‚Æ‹à—Z�EŒo�ÏŽw•W‚Ì•ª�Í | |
| “c–ì‘q —tŽq (–¾Ž¡‘å�E�æ’[�”—�‰ÈŠwŒ¤‹†‰È) | ||
| ’Óc ”ŽŽj (“¯ŽuŽÐ‘å�E—��H) | ||
| �²“¡ �®�® (“Œ‹ž‘å�EŒo�Ï) | ||
| –k�ì Œ¹Žl˜Y (�î•ñ�EƒVƒXƒeƒ€Œ¤‹†‹@�\) | ||
| 6 | Šm—¦“_‰ß’ö‚É‚¨‚¯‚é‚ä‚炬‚̃XƒP�[ƒŠƒ“ƒO‘¥ | |
| �¬ŽR �T‰î (“�Œv�”—�Œ¤‹†�Š�Eƒ‚ƒfƒŠƒ“ƒOŒ¤‹†Œn) | ||
| 9ŒŽ14“ú(“ú) | 15:30�`17:30 | I‰ï�ê (ˆãŠw•”‚Q�†ŠÙ–{ŠÙ3ŠK ‘å�u“°) |
| ƒZƒbƒVƒ‡ƒ“ |
ƒ‚ƒfƒ‹‘I‘ð�i‚Q�j | |
| �À’· | “¡‰z�N�j (�L“‡‘å�E—�) | |
| 1 | Density Power Divergence‚ð—p‚¢‚½ƒ�ƒoƒXƒg‚È�î•ñ—Ê‹K�€‚Ì’ñˆÄ‚Æ‚»‚̉ž—p | |
| ‰œ–ì �²•¶ (‘å�ã‘å�EŠî‘b�H) | ||
| ‰º•½ ‰pŽõ (‘å�ã‘å�EŠî‘b�H) | ||
| 2 | ƒxƒCƒY—\‘ª•ª•z‚ð—p‚¢‚½’·Šú—\‘ª‚Ì�î•ñ—Ê‹K�€ | |
| –î–ì Œb—C (“Œ‹ž‘å�E�î•ñ—��H) | ||
| ‹î–Ø •¶•Û (“Œ‹ž‘å�E�î•ñ—��H) | ||
| 3 | �¬’·‹È�üƒ‚ƒfƒ‹‚É‚¨‚¯‚éŠe‹K�€—Ê‚Ì�‚ŽŸŒ³ˆê’v�« | |
| ‰|–{ —�Œb (“Œ‹ž—�‰È‘å�E—�) | ||
| ŸNˆä “N˜N (�z–K“Œ‹ž—�‰È‘å�E‹¤’Ê‹³ˆçƒZƒ“ƒ^�[) | ||
| “¡‰z �N�j (�L“‡‘å�E—��E–¼—_‹³Žö) | ||
| 4 | ”ñ‰š”±‘¥•t‚«�Å–Þ–@‚É‚æ‚é•Ï�”‘I‘ð‚Ì‚½‚ß‚ÌAIC | |
| ”~’à —C‘¾ (‹ã�B‘å�E�”—�) | ||
| “ñ‹{ ‰Ã�s (‹ã�B‘å�Eƒ}ƒX�EƒtƒHƒA�EƒCƒ“ƒ_ƒXƒgƒŠŒ¤‹†�Š) | ||
| 5 | �üŒ`�¬�‡ƒ‚ƒfƒ‹‚É‚¨‚¯‚é—\‘ª�î•ñ—Ê‹K�€ | |
| �ì‹v•Û —F’´ (“Œ‹ž‘å�EŒo�Ï) | ||
| ‹v•Û�ì ’B–ç (“Œ‹ž‘å�EŒo�Ï) | ||
| 6 | ”»•Ê•ª�͂ɂ¨‚¯‚é�î•ñ—Ê‹K�€‚ð—p‚¢‚½•Ï�”‘I‘ð–@‚Ì�‚ŽŸŒ³‘Q‹ß“I�«Ž¿ | |
| “¡‰z �N�j (�L“‡‘å�E—��E–¼—_‹³Žö) | ||
| 9ŒŽ15“ú( |
||
| 9ŒŽ15“ú(ŒŽ) | 10:00�`12:00 | A‰ï�ê (‹³ˆçŠw•”“�1ŠK 156�u‹`Žº) |
| ƒZƒbƒVƒ‡ƒ“ |
Šé‰æƒZƒbƒVƒ‡ƒ“�F–@�E�Ù”»‚Æ“�Œv | |
| ƒI�[ƒKƒiƒCƒU�[ | �Î�•�^–Ø•v (“�Œv�”—�Œ¤‹†�Š�E“�ŒvŽv�l‰@) | |
| �À’· | �Î�•�^–Ø•v (“�Œv�”—�Œ¤‹†�Š�E“�ŒvŽv�l‰@) | |
| 1 | �‡—�“I“¢˜_‚Æ“�ŒvŠw | |
| �Î�• �^–Ø•v (“�Œv�”—�Œ¤‹†�Š�E“�ŒvŽv�l‰@) | ||
| 2 | –@’ì‚É‚¨‚¯‚é“�Œv | |
| ’†‘º ‘½”üŽq (•ÙŒìŽm–@�lƒŠƒuƒ‰–@—¥Ž––±�Š�E•ÙŒìŽm) | ||
| 3 | •sŠmŽÀ�«‰º‚̈ӎvŒˆ’è | |
| ’Ö �LŒv (“�Œv�”—�Œ¤‹†�Š�Eƒf�[ƒ^‰ÈŠwŒ¤‹†Œn) | ||
| 4 | �Ù”»‚É‚¨‚¯‚é‰ÈŠw“I‚È�Ø‹’�^“�ŒvŠw‚Ì’mŒ©‚Ì•]‰¿‚Æ—˜—p | |
| –í‰i �^�¶ (‚‚‚ΑåŠw‘åŠw‰@�EƒrƒWƒlƒX‰ÈŠwŒ¤‹†‰È) | ||
| 5 | –@‚Æ“�ŒvŠw | |
| ‹{–{ “¹Žq (�H“cŒ§—§‘åŠw�EƒVƒXƒeƒ€‰ÈŠw‹Z�pŠw•”) | ||
| 6 | Ž–ŽÀ‚Ì”F’è‚ðŽx‚¦‚é�Ø‹’‚ÆŒö“I‚È”»’f | |
| –ö–{ •�”ü (’†‰›‘å�E—��H) | ||
| 9ŒŽ15“ú(ŒŽ) | 10:00�`12:00 | B‰ï�ê (Œo�ÏŠwŒ¤‹†‰È“�’n‰º1ŠK ‘æ1‹³Žº) |
| ƒZƒbƒVƒ‡ƒ“ |
Šé‰æƒZƒbƒVƒ‡ƒ“�FƒrƒbƒOƒf�[ƒ^�^ƒI�[ƒvƒ“ƒf�[ƒ^ —˜Šˆ—p�l�Þˆç�¬‚ÉŒü‚¯‚½“�Œv‹³ˆç‚Ì�„�i‚ÆŽ¿•Û�Ø | |
| ƒI�[ƒKƒiƒCƒU�[ | “¡ˆä—Ç‹X (‹{�è‘åŠw) | |
| ’|“àŒõ‰x (ŽÀ‘H�—Žq‘å) | ||
| “n•Ó”ü’qŽq (Œcœä‹`�m‘å) | ||
| “ú–{“�ŒvŠw‰ï“�Œv‹³ˆç•ª‰È‰ï | ||
| ‘º�ã�ª�Ÿ (“¯ŽuŽÐ‘å�E•¶‰»�î•ñ) | ||
| 1 | �‚‘å˜AŒgŒ^‹³ˆç‚Ì�„�i‚Æ‘åŠw“üŽŽ‰üŠv�F’†‹³�R�‚‘å�Ú‘±•”‰ï“š�\‚©‚ç | |
| �‚�… ‹¤”V (’†�‘Šw‰€‘åŠw�E‰ªŽR‘åŠw–¼—_‹³Žö�E’†‰›‹³ˆç�R‹c‰ï�E�‚‘å�Ú‘±“Á•Ê•”‰ï—ÕŽžˆÏˆõ) | ||
| 2 | “ú–{Šw�p‰ï‹c‚É‚¨‚¯‚é“�ŒvŠw•ª–ì‚ÌŽQ�ÆŠî�€‚ɂ‚¢‚Ä | |
| “cŒI �³�Í (’†‰›‘å�E—��H) | ||
| 3 | ‘æIIŠú�uŒö“I“�Œv‚Ì�®”õ‚ÉŠÖ‚·‚éŠî–{“I‚ÈŒv‰æ�v‚ÌŠT—v—“�Œv‹³ˆç‚ð’†�S‚Æ‚µ‚Ä— | |
| �Ô’J �r•F (“�ŒvƒZƒ“ƒ^�[�E‘�–±•”Œo‰cŠé‰æŽº) | ||
| 4 | ƒf�[ƒ^ƒTƒCƒGƒ“ƒeƒBƒXƒgˆç�¬‚Æ“�ŒvŒŸ’è‚ÌŠˆ—p | |
| ŽR�ì ‹`‰î (Дޮ‰ïŽÐ ALBERT�E‘ã•\Žæ’÷–ð‰ï’·) | ||
| 9ŒŽ15“ú(ŒŽ) | 10:00�`12:00 | C‰ï�ê (Œo�ÏŠwŒ¤‹†‰È“�3ŠK ‘æ2‹³Žº) |
| ƒZƒbƒVƒ‡ƒ“ |
ŒvŽZ‹@“�Œv | |
| �À’· | ’†‘º‰i—F (ŽD–yŠw‰@‘å�EŒo�Ï) | |
| 1 | �€ƒ‚ƒ“ƒeƒJƒ‹ƒ��Ï•ª‚Ì‚½‚ß‚ÌWAFOM‚Ì�¬‚³‚¢(t, m, s)-net | |
| Œ´�£ �W (“Œ‹ž�H‹Æ‘å�EƒCƒmƒx�[ƒVƒ‡ƒ“ƒ}ƒlƒWƒ�ƒ“ƒgŒ¤‹†‰È) | ||
| 2 | �ö�Ý•Ï�”‚ðŠÜ‚Þ“�Œvƒ‚ƒfƒ‹‚É‚¨‚¯‚éƒu�[ƒgƒXƒgƒ‰ƒbƒv•ªŽUŒ¸�–@ | |
| ’†‘º ‰i—F (ŽD–yŠw‰@‘å�EŒo�Ï) | ||
| “y‰® �‚�G (�é�¼‘å�E—�) | ||
| �¬�¼ ’å‘¥ (’†‰›‘å�E—��H) | ||
| 3 | Ž÷–؃‚ƒfƒ‹‚Ɋ̑ŸŠà‚̈«�«“x‚ÉŠÖ‚·‚é”»•ʂɂ‚¢‚Ä | |
| —Ñ –M�D (‰ªŽR‘å�E‘åŠw‰@ŠÂ‹«�¶–½‰ÈŠwŒ¤‹†‰È) | ||
| �Ήª •¶�¶ (‰ªŽR‘å�E‘åŠw‰@–@–±Œ¤‹†‰È) | ||
| ˆä�ã �K•½ (�ç—t‘å�EˆãŠw•”•�‘®•a‰@•úŽË�ü‰È) | ||
| ’†‹Ê—˜ —tŒŽ (�ç—t‘å�EˆãŠw•”•�‘®•a‰@•úŽË�ü‰È) | ||
| �A“c ‘ô–ç (�¹˜H‰Á�‘�Û•a‰@�E•úŽË�ü‰È) | ||
| �…“¡ а (‰ªŽR‘å�E‘åŠw‰@ŠÂ‹«�¶–½‰ÈŠwŒ¤‹†‰È) | ||
| ŒIŒ´ �lŽŸ (‰ªŽR‘å�E‘åŠw‰@ŠÂ‹«�¶–½‰ÈŠwŒ¤‹†‰È) | ||
| 4 | ƒ‰ƒ“ƒ_ƒ€ƒOƒ‰ƒt‚É‚¨‚¯‚éƒOƒ‰ƒt�\‘¢‚̃u�[ƒgƒXƒgƒ‰ƒbƒv‚Ì�«Ž¿ | |
| ‰i“c �°‹v (‘å�ã‘å�EŠî‘b�H) | ||
| ‰º•½ ‰pŽõ (‘å�ã‘å�EŠî‘b�H) | ||
| 5 | ƒJƒeƒSƒŠ�[•Ï�”‚ðŠÜ‚Þ�W–ñ“IƒVƒ“ƒ{ƒŠƒbƒNƒf�[ƒ^‚Ì‹L�q‚ƉŽ‹‰» | |
| ’†–ì �ƒŽi (“�Œv�”—�Œ¤‹†�Š�Eƒ‚ƒfƒŠƒ“ƒOŒ¤‹†Œn) | ||
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| ”Ñ“c �³�¬ (“Œ‹ž—�‰È‘å�EŒo‰c�HŠw) | ||
| ‹{“c —fˆê (�‚�èŒo�Ï‘åŠw�EŒo�Ï) | ||
| ‰–à_ Œh”V (“Œ‹ž—�‰È‘å�EŒo‰c�HŠw) | ||
| 9ŒŽ15“ú(ŒŽ) | 10:00�`12:00 | D‰ï�ê (�Ô–å‘��‡Œ¤‹†“�2ŠK 200�u‹`Žº) |
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| �À’· | ŽRŒû˜a”Í (—§‹³‘å�EŒo‰c) | |
| 1 | Default or Exit?: Empirical Study on SMEs in the Japanese Construction�@Industry | |
| �®–ì —RŠóŽq (‰¡•l�‘—§‘å�E�‘�ێЉï‰ÈŠw) | ||
| 2 | Testing for Granger Causality with Mixed Frequency Data | |
| –Î–Ø ‰õŽ¡ (‘�ˆî“c‘å�E�Œo) | ||
| Ghysels Eric (University of North Carolina at Chapel Hill�EDepartment of Economics and Department of Finance) | ||
| Hill Jonathan (University of North Carolina at Chapel Hill�EDepartment of Economics) | ||
| 3 | •ÏŠ·�üŒ`�¬�‡ƒ‚ƒfƒ‹‚ð—p‚¢‚½�¬’nˆæ�„’è | |
| �›àV ãÄ”V�• (“Œ‹ž‘å�EŒo�Ï) | ||
| ‹v•Û�ì ’B–ç (“Œ‹ž‘å�EŒo�Ï) | ||
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| ‰Í�‡ —³–ç (“¯ŽuŽÐ‘å�E—��H) | ||
| ’Óc ”ŽŽj (“¯ŽuŽÐ‘å�E—��H) | ||
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| •½“c �Ë�l (“Œ‹ž‘å�E�¶ŽY‹Z�pŒ¤‹†�Š) | ||
| �‡Œ´ ˆê�K (“Œ‹ž‘å�E�¶ŽY‹Z�pŒ¤‹†�Š) | ||
| 9ŒŽ15“ú(ŒŽ) | 10:00�`11:00 | E‰ï�ê (�¬“‡ƒz�[ƒ‹2ŠK ƒRƒ“ƒtƒ@ƒŒƒ“ƒXƒ‹�[ƒ€) |
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| 1 | Doubly Protected Regression Weighting | |
| �¼‹½ �_ (‘�ˆî“c‘å�E�Œo) | ||
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| œA�£ ‘P‘å (“Œ‹ž‘å�E�î•ñ—��H) | ||
| 3 | Stochastic Domination in Predictive Density Estimation for Ordered Normal Means Under ƒ¿-Divergence Loss | |
| ’£ Œ³�@ (–Ú”’‘åŠw�EŽÐ‰ïŠw•”) | ||
| William, E. Strawderman (Rutgers University�EDepartment of Statistics and Biostatistics) | ||
| 9ŒŽ15“ú(ŒŽ) | 10:00�`12:00 | F‰ï�ê (ˆãŠw•”‚P�†ŠÙ1ŠK �u“°) |
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| �¬–ì ˆŸŽ÷ (“ú–{‹â�s�E’²�¸“�Œv‹Ç) | ||
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| ‘å–ì —T”V (“Œ—m‘å�EŒo�Ï) | ||
| ˆÀ‰ª ‹§–ç (ŠÖ“ŒŠw‰@‘å�EŒo�Ï) | ||
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| ”Ñ’Ë �M•v (�_“Þ�ì‘åŠw�EŒo�Ï) | ||
| 9ŒŽ15“ú(ŒŽ) | 10:00�`12:00 | G‰ï�ê (ˆãŠw•”‚P�†ŠÙ3ŠK �u“°) |
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| 1 | Hypothesis testing of inclusion of the tolerance interval | |
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| �¼‘º �®”V (ŒQ”n‘å�EŽÐ‰ï�î•ñ) | ||
| ‹÷“c –¾—m (–kŠC“¹‘å�E’ቷŒ¤) | ||
| �¬–ì �´”ü (–kŠC“¹‘å�E’ቷŒ¤) | ||
| ’·’J�ì �¬–¾ (–kŠC“¹‘å�E’ቷŒ¤) | ||
| ŽR–{ �iˆê (‰ªŽR‘å�E•›Šw’·) | ||
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| 4 | Investigating the temporal change of species community | |
| “‡’à �G�N (University of St Andrews�ECentre for Biological Diversity) | ||
| 5 | ”ñ‘Î�̃�ƒWƒXƒeƒBƒbƒN‰ñ‹Aƒ‚ƒfƒ‹‚É‚æ‚é�…ŽYŽ‘Œ¹•]‰¿ | |
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| 9ŒŽ15“ú(ŒŽ) | 10:00�`12:00 | H‰ï�ê (ˆãŠw•”‚Q�†ŠÙ–{ŠÙ1ŠK �¬�u“°) |
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| �À’· | �ΓcŒ÷ (�b“ì‘å�EŒo�Ï) | |
| 1 | Evaluating the performance of futures hedge using multivariate realized volatility | |
| �¶•û ‰ë�l (‹ú˜HŒö—§‘åŠw�EŒo�Ï) | ||
| “n•” •q–¾ (ˆê‹´‘å�EŒo�ÏŒ¤‹†�Š) | ||
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| �ÎŒ´ —f”Ž (ˆê‹´‘å�EŒo�Ï) | ||
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| ‘å�X —T�_ (“Œ‹ž‘å�EŒo�Ï) | ||
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| �Γc Œ÷ (�b“ì‘åŠw�EŒo�ÏŠw•”) | ||
| 6 | Bond Market Integration in East Asia: A Multivariate GARCH with Dynamic Conditional Correlations Approach | |
| “‡“c �~“ñ (�ÂŽRŠw‰@‘å�EŒo‰c) | ||
| ’Ï —Ç•F (“Œ–k‘å�E–{•”) | ||
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| “c’† Ži˜N (‹ž“s‘å�Eˆã) | ||
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| 4 | ”N‹à�§“x‚ð�§Œä‚·‚é“�Œv‚ð�Ä–K‚·‚é | |
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| ƒI�[ƒKƒiƒCƒU�[ | Š™‘q–«�¬ (’†‰›‘å�EŒo‰cƒVƒXƒeƒ€) | |
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| �]Œû �^“§ (“�Œv�”—�Œ¤‹†�Š�E�”—�) | ||
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| Š}Œ´ ”Ž�K (The University of British Columbia�EVancouver School of Economics) | ||
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| 6 | Markov Bases in Algebraic Statistics | |
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| ’|‘º �²’Ê (“Œ‹ž‘å�E�î•ñ—��H) | ||
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| 2 | Œ‡‘ªƒf�[ƒ^•ª�̓\ƒtƒgƒEƒFƒA�uSOLAS�v‚Ì‚²�Љî | |
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| 6 | “�Œv‹³ˆç‚Ì‚½‚߂̓�Œv‰ð�̓\ƒtƒg Minitab 17 ‚Ì�Љî | |
| œA�£Œ’�N ((Š”)�\‘¢Œv‰æŒ¤‹†�Š) | ||
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| 1 | ƒ�ƒWƒXƒeƒBƒbƒN‰ñ‹A‚̃�ƒ^ƒAƒiƒŠƒVƒX �`—\‘ªƒ‚ƒfƒ‹‚ւ̉ž—p�` | |
| •ĉª ‘å•ã (‘��‡Œ¤‹†‘åŠw‰@‘å�E“�Œv) | ||
| ˆíŒ© �¹”V (“�Œv�”—�Œ¤‹†�Š�Eƒf�[ƒ^‰ÈŠwŒ¤‹†Œn) | ||
| 2 | Markov degree of configurations defined by fibers of a configuration | |
| ŒÃŽR ‹M”V (“Œ‹ž‘å�E�î•ñ—��H) | ||
| �¬�ì Œõ‹I (“Œ‹ž‘å�E�î•ñ—��H) | ||
| ’|‘º �²’Ê (“Œ‹ž‘å�E�î•ñ—��H) | ||
| 3 | ŠÏ‘ªŒë�·‚ð�l—¶‚µ‚½�¶•¨ŒQ�W‚ÌŽž‹óŠÔƒ‚ƒfƒ‹ | |
| �[’J ”£ˆê (“�Œv�”—�Œ¤‹†�Š�E“�ŒvŽv�l‰@) | ||
| 4 | ƒ‰ƒ“ƒ_ƒ€ƒGƒtƒFƒNƒgƒpƒ‰ƒŒƒ‹ƒvƒ�ƒtƒ@ƒCƒ‹ƒ‚ƒfƒ‹‚É‚¨‚¯‚鋤•ªŽU�\‘¢‚ÉŠÖ‚·‚é–Þ“x”䌟’è“�Œv—ʂ̑Q‹ß“WŠJ | |
| ˆî’à —C (�L“‡‘å�E—�) | ||
| 5 | Statistical Inference with Hierarchical Missing-data Mechanisms | |
| �X�ì �k•ã (‘å�ã‘å�EŠî‘b�H) | ||
| Žë–ì —T (‘å�ã‘å�EŠî‘b�H) | ||
| 9ŒŽ15“ú(ŒŽ) | 13:00�`15:00 | E‰ï�ê (�¬“‡ƒz�[ƒ‹2ŠK ƒRƒ“ƒtƒ@ƒŒƒ“ƒXƒ‹�[ƒ€) |
| ƒZƒbƒVƒ‡ƒ“ |
“�Œv—�˜_ˆê”Ê�i‚S�j | |
| �À’· | ‘O‰€‹X•F (‹ã�B‘å�E�”—�) | |
| 1 | ƒmƒ“ƒpƒ‰ƒ�ƒgƒŠƒbƒNŒŸ’è“�Œv—ʂ̗LˆÓŠm—¦‚ƘA‘±‰»“�Œv—ʂɂ‚¢‚Ä | |
| ‘O‰€ ‹X•F (‹ã�B‘å�E�”—�) | ||
| �XŽR ‘ì (‹ã�B‘å�E�”—�) | ||
| 2 | ƒJ�[ƒlƒ‹–§“x�„’è–@‚Æk-means–@‚ð—p‚¢‚½ƒnƒCƒuƒŠƒbƒh”ñ�üŒ`”»•Ê–@ | |
| ŽR–{ ‚¯‚¢Žq (”ŸŠÙ�H‹Æ�‚“™�ê–åŠw�Z�Eˆê”ʉȖÚ) | ||
| Ц‰Í�] ‰ë•F (‹à‘ò‘å�EŒo�Ï) | ||
| 3 | Non-overlapping Template Matching Test‚É‚¨‚¯‚é‘Η§‰¼�à‚̉º‚Å‚Ì Template�”‚Ì•ª•z‚ɂ‚¢‚Ä | |
| ’|“c —Tˆê (�_“Þ�ì�H‰È‘åŠw�EŠî‘b�E‹³—{‹³ˆçƒZƒ“ƒ^�[) | ||
| “¡ˆä Œõ�º (’†‰›‘å�EŒo‰cƒVƒXƒeƒ€) | ||
| Š™‘q –«�¬ (’†‰›‘å�EŒo‰cƒVƒXƒeƒ€) | ||
| “nç³ ‘¥�¶ (’†‰›‘å�EŒo‰cƒVƒXƒeƒ€) | ||
| 4 | �Å�¬Cramer-von Mises‹——£�„’è—Ê‚ð—p‚¢‚½‚Æ‚«‚Ì“K�‡“xŒŸ’è‚̃�ƒoƒXƒg�« | |
| ’‡ �^‹| ((Š”)ƒf�[ƒ^ƒTƒCƒGƒ“ƒXƒRƒ“ƒ\�[ƒVƒAƒ€�EŒ¤‹†ŠJ”•”) | ||
| ŽÄ“c —¢’ö ((Š”)ƒf�[ƒ^ƒTƒCƒGƒ“ƒXƒRƒ“ƒ\�[ƒVƒAƒ€�EŒ¤‹†ŠJ”•”) | ||
| 5 | ‚ ‚éƒ�ƒoƒXƒg“�Œv—ʂƂ»‚ÌŠO‚ê’l‚ÌŒŸ’è‚ւ̉ž—p‚ÉŠÖ‚·‚éˆê�lŽ@ | |
| ‰¡ŽR �^�O (’†‰›‘å�E—��H) | ||
| ’·’Ë �‹ŒÈ (’†‰›‘å�E—��H) | ||
| 6 | “™•ªŽU‚ð‰¼’è‚µ‚½�Å—Ç�³‹K•ê�W’c‚Ì‘I‘ð•û–@‚̊挒�«‚ɂ‚¢‚Ä | |
| �‚“c ‰À˜a (ŒF–{‘å�EŽ©‘R‰ÈŠw) | ||
| ެ—¯ ’¼Ž÷ (ŒF–{‘å�EŽ©‘R‰ÈŠw) | ||
| 9ŒŽ15“ú(ŒŽ) | 13:00�`15:00 | F‰ï�ê (ˆãŠw•”‚P�†ŠÙ1ŠK �u“°) |
| ƒZƒbƒVƒ‡ƒ“ |
Œö“I“�Œv‚É‚¨‚¯‚é�V‚µ‚¢Žæ‚è‘g‚Ý | |
| �À’· | ‹g–ì�Ž•¶ (“ú–{‹â�s�E’²�¸“�Œv‹Ç) | |
| 1 | �w�•{“�Œv‚Ì‚½‚ß‚Ì�s�“I‚ȃf�[ƒ^ƒ\�[ƒX‚Æ‘æ‚QŽŸ“I‚ȃf�[ƒ^ƒ\�[ƒX‚Ì—˜—p�x‚ɂ‚¢‚Ä | |
| •l�» Œh˜Y (‹ã�B‘å�E–¼—_‹³Žö) | ||
| 2 | ‘æIIŠú�uŒö“I“�Œv‚Ì�®”õ‚ÉŠÖ‚·‚éŠî–{“I‚ÈŒv‰æ�v‚ɂ‚¢‚Ä | |
| àV‘º •Û‘¥ (‘�–±�È�E��ô“�ЇН�i“�ŒvŠî�€’S“–�j•t) | ||
| 3 | ‰ä‚ª�‘SNA‚É‚¨‚¯‚éGDPƒfƒtƒŒ�[ƒ^�[�iŽx�o‘¤‚Æ�¶ŽY‘¤�j‚Ì•s“Ë�‡‚Ì—vˆö‚ÆGDPƒfƒtƒŒ�[ƒ^�[‚Ì�¸“xŒü�ã‚ÉŒü‚¯‚½‰Û‘è ‚¨‚æ‚Ñ�„Œv•û–@‚ÌŒ©’¼‚µ‚Ì•ûŒü�«‚ɂ‚¢‚Ä |
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| “¡Œ´ —T�s (“ú–{‹â�s�E’²�¸“�Œv‹Ç) | ||
| 4 | 2008SNA‚𓥂܂¦‚½Ž‘‹à�zŠÂ“�Œv‚ÌŒ©’¼‚µ‚ÉŠÖ‚·‚é�Å�IˆÄ | |
| �²“¡ ‰ÃŽq (“ú–{‹â�s�E’²�¸“�Œv‹Ç) | ||
| –L“c �å‹v (“ú–{‹â�s�E’²�¸“�Œv‹Ç) | ||
| 5 | �‘–¯Œo�ÏŒvŽZ‚É‚¨‚¯‚é’†‰›‹â�s‚ÌŽY�o‚ÉŠÖ‚·‚éŽæ‚舵‚¢
„Ÿ„Ÿ�@2008SNA‚É‚¨‚¯‚é’†‰›‹â�s‚ÌŽY�o‚ÉŠÖ‚·‚éŽæ‚舵‚¢ ‚ÌŒ©’¼‚µ‚Ƃ킪�‘‚É‚¨‚¯‚é‘Ήž |
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| ‹g–ì �Ž•¶ (“ú–{‹â�s�E’²�¸“�Œv‹Ç) | ||
| –쑺 Œ¤‘¾ (“àŠt•{�EŒo�ώЉï‘��‡Œ¤‹†�Š�‘–¯Œo�ÏŒvŽZ•”) | ||
| 6 | ƒlƒbƒgƒVƒ‡ƒbƒsƒ“ƒO‚ÌŽÀ‘Ô”cˆ¬‚ÉŒü‚¯‚½‰ÆŒv�Á”ï�ó‹µ’²�¸‚ÌŒ©’¼‚µ‚ɂ‚¢‚Ä | |
| Žs�ì —R—¢Žq (‘�–±�È�E“�Œv‹Ç) | ||
| “n•Ó �kŽŸ (‘�–±�È�E“�Œv‹Ç) | ||
| 9ŒŽ15“ú(ŒŽ) | 13:00�`15:00 | G‰ï�ê (ˆãŠw•”‚P�†ŠÙ3ŠK �u“°) |
| ƒZƒbƒVƒ‡ƒ“ |
—Õ�°ŽŽŒ± | |
| �À’· | ‰º�ì•q—Y (ŽR—œ‘å�E‘åŠw‰@ˆãŠw�HŠw‘��‡Œ¤‹†•”) | |
| 1 | Sequential Parallel Comparison Design‚ÆPlacebo lead-in ŽŽŒ±‚Æ‚Ì�«”\”äŠr | |
| –L�ò Ž÷ˆê˜Y (‰––ì‹`�»–ò(Š”)�E‰ð�̓Zƒ“ƒ^�[) | ||
| “¡Œ´ �³˜a (‰––ì‹`�»–ò(Š”)�E‰ð�̓Zƒ“ƒ^�[) | ||
| ‹g“c —SŽ÷ (‰––ì‹`�»–ò(Š”)�E‰ð�̓Zƒ“ƒ^�[) | ||
| ˆÒ�‚ —Tˆê (‰––ì‹`�»–ò(Š”)�E‰ð�̓Zƒ“ƒ^�[) | ||
| ’¬“c Œõ—z (‰––ì‹`�»–ò(Š”)�E‰ð�̓Zƒ“ƒ^�[) | ||
| “s’n �º•v (‰––ì‹`�»–ò(Š”)�E‰ð�̓Zƒ“ƒ^�[) | ||
| “n•Ó �G�Í (‰––ì‹`�»–ò(Š”)�E‰ð�̓Zƒ“ƒ^�[) | ||
| 2 | Coxƒ‚ƒfƒ‹‚ÉŠî‚Â�¶‘¶–Ø�\’z‚É‚¨‚¯‚é•ªŠ„Šî�€‚Ì”äŠr‚ɂ‚¢‚Ä | |
| ‰º�ì ’©—L (“Œ‹ž—�‰È‘å�E—�) | ||
| �ì�è —m•½ (“Œ‹ž—�‰È‘å�E—�) | ||
| ‹{‰ª ‰x—Ç (“Œ‹ž—�‰È‘å�E—�) | ||
| 3 | �¶‘¶ŽžŠÔMARS–@‚ÌŠg’£‚Æ‚»‚Ì•]‰¿ | |
| ‰º�ì •q—Y (ŽR—œ‘åŠw�E‘åŠw‰@ˆãŠw�HŠw‘��‡Œ¤‹†•”) | ||
| 4 | Cox proportional hazards cure model‚É‚æ‚è�„’肵‚½Ž¡–üŠm—¦‚Ì—\‘ª�¸“x‚Ì•]‰¿–@ | |
| �ó–ì �~ˆê (ˆã–ò•iˆã—Ë@Ší‘��‡‹@�\�E�R�¸ƒZƒ“ƒ^�[ �¶•¨“�Œv—̈æ) | ||
| •½�ì �W�O (–¼ŒÃ‰®‘å�EˆãŠw•”•�‘®•a‰@) | ||
| •l“c ’m‹v”n (“Œ‹ž—�‰È‘å�E�H) | ||
| 5 | ‚ª‚ñƒ�ƒNƒ`ƒ“ŽŽŒ±‚É‚¨‚¯‚éFleming-Harrington‚Ì�d‚Ý•t‚«log-rankŒŸ’è‚ɑ΂·‚é�ðŒ�•t‚«ŒŸ�o—͂̎Z�o•û–@‚Æ‚»‚Ì�«”\•]‰¿ | |
| �ìŒû Œ[Žq (‰––ì‹`�»–ò(Š”)�E‰ð�̓Zƒ“ƒ^�[) | ||
| ’·’J�ì ‹M‘å (‰––ì‹`�»–ò(Š”)�E‰ð�̓Zƒ“ƒ^�[) | ||
| 6 | ‚ª‚ñƒ�ƒNƒ`ƒ“ŽŽŒ±‚ÅFleming-Harrington‚Ì�d‚Ý•t‚«log-rankŒŸ’è“�Œv—Ê‚ð—p‚¢‚½�ê�‡‚Ì’€ŽŸƒ‚ƒjƒ^ƒŠƒ“ƒO‚Ì—¯ˆÓ“_ | |
| ’·’J�ì ‹M‘å (‰––ì‹`�»–ò(Š”)�E‰ð�̓Zƒ“ƒ^�[) | ||
| 9ŒŽ15“ú(ŒŽ) | 13:00�`15:00 | H‰ï�ê (ˆãŠw•”‚Q�†ŠÙ–{ŠÙ1ŠK �¬�u“°) |
| ƒZƒbƒVƒ‡ƒ“ |
ƒ}�[ƒPƒeƒBƒ“ƒO | |
| �À’· | ”º�³—² (“ú–{‘å�EŒo�Ï) | |
| 1 | ‰Æ‘°�\�¬•Ê‚Ì�Á”ï�s“®‚ɂ‚¢‚Ä | |
| �K�â Œ\‘¿ (�H“cŒ§—§‘åŠw�EŒo‰cƒVƒXƒeƒ€�HŠw‰È) | ||
| ‹{–{ “¹Žq (�H“cŒ§—§‘åŠw�EŒo‰cƒVƒXƒeƒ€�HŠw‰È) | ||
| 2 | ’ZŠú“I—¬�sŒø‰Ê‚ð‚à‚ˆê”ʉ»”ä—áƒIƒbƒY”䃂ƒfƒ‹ | |
| —é�ì �»•v (–kŠC“¹‘å�EŒo�Ï) | ||
| 3 | �¤•iƒJƒeƒSƒŠ�[‚Æ•¡�”ƒuƒ‰ƒ“ƒh�w”ƒ‚Ì’iŠKŒ^“¯Žž•ª�Í“®“Iƒ‚ƒfƒ‹ | |
| ‹{�è Œd (ŠÖ�¼‘å�E�¤) | ||
| �¯–ì �’�G (“Œ‹ž‘å�E‹³ˆç) | ||
| 4 | “ú–{‚É‚¨‚¯‚é‘΃AƒWƒAŒü‚¯�‰ʕ¨—A�o‚ÉŠÖ‚·‚镪�Í | |
| �A“c —Y‰î (Дޮ‰ïŽÐƒS�[ƒK�E‘æ3Ž–‹Æ•”) | ||
| ’©“ú ‹|–¢ (�ɪ‘åŠw�EŒo‰c�HŠw) | ||
| 5 | –³ŒÀ�¬�‡—£ŽU‘I‘ðƒ‚ƒfƒ‹‚É‚æ‚é�Á”ïŽÒˆÙŽ¿�«‚Ì•]‰¿ | |
| ”º �³—² (“ú–{‘å�EŒo�Ï) | ||
| �ƈä �L•F (“Œ–k‘å�EŒo�Ï) | ||
| 6 | �Ý’cŠúŠÔ‚©‚ç‚Ý‚½•ó’ˉ̌€’cˆõ‚Ì”NŽŸ•Ê�\‘¢”äŠr | |
| �â•” —T”üŽq ((�à)“�Œv�î•ñŒ¤‹†ŠJ”ƒZƒ“ƒ^�[�EŒ¤‹†ŠJ”–{•”) | ||
| 9ŒŽ15“ú(ŒŽ) | 13:00�`15:00 | I‰ï�ê (ˆãŠw•”‚Q�†ŠÙ–{ŠÙ3ŠK ‘å�u“°) |
| ƒZƒbƒVƒ‡ƒ“ |
Šé‰æƒZƒbƒVƒ‡ƒ“�F‰ž—p“�ŒvŠw‰ïƒVƒ“ƒ|ƒWƒEƒ€�F‹Z�pŠJ”ƒvƒ�ƒZƒX‚ð‰Á‘¬‚³‚¹‚邽‚߂̒m‚Ì“��‡�i‹¦Ž^�F•iŽ¿�HŠw‰ï�A“ú–{TRIZ‹¦‰ï�A“�Œv�”—�Œ¤‹†�ŠƒŠƒXƒN‰ð�Í�í—ªŒ¤‹†ƒZƒ“ƒ^�[�j | |
| ƒI�[ƒKƒiƒCƒU�[ | ’|“àœ¨�s (‘å�ã‘å�EŒo�Ï) | |
| “n•Ó”ü’qŽq (Œcœä‹`�m‘å�EŒ’�Nƒ}ƒlƒWƒ�ƒ“ƒg) | ||
| ’Ö�LŒv (“�Œv�”—�Œ¤‹†�Š�Eƒf�[ƒ^‰ÈŠwŒ¤‹†Œn) | ||
| �À’· | ’|“àœ¨�s (‘å�ã‘å�EŒo�Ï) | |
| 1 | ƒ^ƒOƒ`ƒ�ƒ\ƒbƒh‚É‚æ‚é‹Z�pŠJ” | |
| “cŒû �L (ASI Consulting Group�ECTO) | ||
| 2 | ’m‚Ì�„‚è‚ð—Ç‚‚·‚éŽè–@ŠÔ˜AŒg | |
| �•‰Í ‰p�r (ƒAƒ‹ƒvƒX“d‹C) | ||
| ‹gàV �³�F (ƒNƒIƒŠƒeƒB�EƒfƒB�[ƒv�EƒXƒ}�[ƒc—LŒÀ�Ó”CŽ–‹Æ‘g�‡) | ||
| —Ñ —˜�O (—Ñ‹Z�pŽmŽ––±�Š) | ||
| 3 | ƒpƒlƒ‹“¢˜_ ‹Z�pŠJ”‰Á‘¬‚Ì‚½‚߂̒m‚Ì“��‡�|“�Œv‰ÈŠw‚ɂǂ̂悤‚È–ðŠ„‚ªŠú‘Ò‚³‚ê‚é‚Ì‚©�H | |
| ’Ö �LŒv (“�Œv�”—�Œ¤‹†�Š�Eƒf�[ƒ^‰ÈŠwŒ¤‹†Œn) | ||
| 9ŒŽ15“ú( |
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| 9ŒŽ15“ú(ŒŽ) | 15:30�`17:30 | A‰ï�ê (‹³ˆçŠw•”“�1ŠK 156�u‹`Žº) |
| ƒZƒbƒVƒ‡ƒ“ |
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| ƒI�[ƒKƒiƒCƒU�[ | �΋´—Yˆê (�iŠ”�jƒXƒ^ƒbƒgƒ‰ƒ{) | |
| �Ήª•¶�¶ (‰ªŽR‘å�E–@–±) | ||
| �À’· | “ì�O�ª (–kŠC“¹‘å�E�î•ñŠî”ÕƒZƒ“ƒ^�[) | |
| 1 | •a—��f’f‚É‚¨‚¯‚éƒeƒLƒXƒg‚Æ |
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| Œ´ “ÖŽq (–k—¢‘å�Eˆã) | ||
| �΋´ —Yˆê (�iŠ”�jƒXƒ^ƒbƒgƒ‰ƒ{) | ||
| 2 | •Ÿ“‡‘æˆêŒ´Žq—Í”“d�ŠŽ–ŒÌ‚É”º‚¤•úŽË�«•¨Ž¿ƒ‚ƒjƒ^ƒŠƒ“ƒOƒ|ƒXƒgƒf�[ƒ^‚ÌŽž‹óŠÔ�W�Ï�«‚ÌŒŸ“¢ | |
| �Ήª •¶�¶ (‰ªŽR‘å�E‘åŠw‰@–@–±Œ¤‹†‰È) | ||
| ŒIŒ´ �lŽŸ (‰ªŽR‘å�E‘åŠw‰@ŠÂ‹«�¶–½‰ÈŠwŒ¤‹†‰È) | ||
| 3 | ˆâ“`�E�¸�_•ÛŒ’ƒf�[ƒ^‚ɑ΂·‚é�W�Ï�«Žè–@‚ÌŽÀ‘H | |
| •y“c �½ (“Œ‹žˆã‰ÈŽ•‰È‘åŠw�E—Õ�°ŽŽŒ±ŠÇ—�ƒZƒ“ƒ^�[) | ||
| �Ήª •¶�¶ (‰ªŽR‘å�E‘åŠw‰@–@–±Œ¤‹†‰È) | ||
| ‹v•Û“c ‹M•¶ (‘½–€‘åŠw�EŒo‰c�î•ñŠw•”) | ||
| �¼ŽR ‹B (ˆ¤’mˆã‰È‘åŠw�Eˆã) | ||
| ŒIŒ´ �lŽŸ (‰ªŽR‘å�E‘åŠw‰@ŠÂ‹«�¶–½‰ÈŠwŒ¤‹†‰È) | ||
| 4 | ‘å‹K–ÍŽ©ŽE“�Œv‚ÌŽžŠÔ“I�E‹óŠÔ“I‰ð�Í | |
| ‹v•Û“c ‹M•¶ (‘½–€‘åŠw�EŒo‰c�î•ñŠw•”) | ||
| �Ήª •¶�¶ (‰ªŽR‘å�E‘åŠw‰@–@–±Œ¤‹†‰È) | ||
| •y“c �½ (“Œ‹žˆã‰ÈŽ•‰È‘åŠw�E—Õ�°ŽŽŒ±ŠÇ—�ƒZƒ“ƒ^�[) | ||
| ’Ö �LŒv (“�Œv�”—�Œ¤‹†�Š�Eƒf�[ƒ^‰ÈŠwŒ¤‹†Œn) | ||
| 5 | ‹óŠÔ“IŠK‘w�\‘¢‚ð—˜—p‚µ‚½ƒT�[ƒ‚ƒ“‚Ì�¶‘§�ê•]‰¿–@ | |
| �¬“c –qŽq (–h‰qˆã‰È‘åŠw�Z) | ||
| Koljonen Saija (ƒtƒBƒ“ƒ‰ƒ“ƒh�‘—§ŠÂ‹«Œ¤‹†�Š) | ||
| Huttula Timo (ƒtƒBƒ“ƒ‰ƒ“ƒh�‘—§ŠÂ‹«Œ¤‹†�Š) | ||
| Alho Petteri (ƒgƒDƒ‹ƒN‘åŠw) | ||
| �…“¡ а (‰ªŽR‘å�E‘åŠw‰@ŠÂ‹«�¶–½‰ÈŠwŒ¤‹†‰È) | ||
| ŒIŒ´ �lŽŸ (‰ªŽR‘å�E‘åŠw‰@ŠÂ‹«�¶–½‰ÈŠwŒ¤‹†‰È) | ||
| 9ŒŽ15“ú(ŒŽ) | 15:30�`17:30 | C‰ï�ê (Œo�ÏŠwŒ¤‹†‰È“�3ŠK ‘æ2‹³Žº) |
| ƒZƒbƒVƒ‡ƒ“ |
Šé‰æƒZƒbƒVƒ‡ƒ“�FƒXƒp�[ƒX�³‘¥‰»‚É‚æ‚é“�Œv“I�„‘ª | |
| ƒI�[ƒKƒiƒCƒU�[ | “¡àV—m“¿ (“�Œv�”—�Œ¤‹†�Š�E�”—��E�„˜_Œ¤‹†Œn) | |
| �À’· | “¡àV—m“¿ (“�Œv�”—�Œ¤‹†�Š�E�”—��E�„˜_Œ¤‹†Œn) | |
| 1 | ŽïŽ|�à–¾ (5•ª) | |
| “¡àV —m“¿ (“�Œv�”—�Œ¤‹†�Š�E�”—��E�„˜_Œ¤‹†Œn) | ||
| 2 | ƒXƒp�[ƒX�„’èŠTŠÏ�Fƒ‚ƒfƒ‹�E—�˜_�E‰ž—p (40•ª) | |
| —é–Ø ‘厜 (“Œ‹ž�H‹Æ‘å�E�î•ñ—��H) | ||
| 3 | ƒXƒp�[ƒX�³‘¥‰»‚ÉŠî‚ÂŽå�¬•ª‰ñ‹Aƒ‚ƒfƒŠƒ“ƒO (25•ª) | |
| �ì–ì �Gˆê (‘å�ã•{—§‘å�E�H) | ||
| �‚“c –L�s (�‘—§ˆâ“`ŠwŒ¤‹†�Š�EŒn“��¶•¨Œ¤‹†ƒZƒ“ƒ^�[) | ||
| “¡àV —m“¿ (“�Œv�”—�Œ¤‹†�Š�E�”—��E�„˜_Œ¤‹†Œn) | ||
| �é�Î �r•F (�‘—§ˆâ“`ŠwŒ¤‹†�Š�EŒn“��¶•¨Œ¤‹†ƒZƒ“ƒ^�[) | ||
| 4 | �³‘¥‰»ƒXƒp�[ƒXˆöŽq•ª�͈͂öŽq‰ñ“]‚ÉŽæ‚Á‚Ä‘ã‚í‚é‚Ì‚©�H (25•ª) | |
| œA�£ Œd (‘å�ã‘å�EŠî‘b�H) | ||
| ŽR–{ —Ï�¶ (‹ž“s‘å�Eˆã) | ||
| 5 | ŠO‚ê’l‚Ƀ�ƒoƒXƒg‚ȃXƒp�[ƒX�üŒ`‰ñ‹A: ŒðŒÝ�Å“K‰»ƒAƒ‹ƒSƒŠƒYƒ€‚Æ‚»‚Ì“�Œv“IŽû‘© (25•ª) | |
| •ÐŽR ãÄ‘¾ (“Œ‹ž�H‹Æ‘å�EŽÐ‰ï—��H) | ||
| “¡àV —m“¿ (“�Œv�”—�Œ¤‹†�Š�E�”—��E�„˜_Œ¤‹†Œn) | ||
| 9ŒŽ15“ú(ŒŽ) | 15:30�`17:30 | D‰ï�ê (�Ô–å‘��‡Œ¤‹†“�2ŠK 200�u‹`Žº) |
| ƒZƒbƒVƒ‡ƒ“ |
•ª•z˜_ | |
| �À’· | ˆÀŒ|�d—Y (ŠÖ�¼‘å�EƒVƒXƒeƒ€—��H) | |
| 1 | Šù’m‚Ì•ûŒüŽü‚è‚ł̑ÎçG‘Î�Ì�«‚ÉŠÖ‚·‚é‘Q‹ß�Å“K�„‘ª˜_ | |
| ˆ¢•” �r�O (“Œ‹ž—�‰È‘å�E�H) | ||
| �¬•û �_–¾ (Žñ“s‘å�E“sŽs‹³—{) | ||
| ‰–à_ Œh”V (“Œ‹ž—�‰È‘å�E�H) | ||
| ’J�‡ �O�s (‘�ˆî“c‘å�E�‘�Û‹³—{) | ||
| 2 | Šm—¦•êŠÖ�”‚ÉŠî‚¢‚½—£ŽU•ª•z‚ÌŒvŽZ‚ɂ‚¢‚Ä | |
| ˆÀŒ| �d—Y (ŠÖ�¼‘å�EƒVƒXƒeƒ€—��HŠw•”) | ||
| 3 | ƒzƒ�ƒmƒ~ƒbƒNŒù”z–@‚É‚æ‚é�ÛŒÀŠm—¦‚ÌŒvŽZ | |
| �¬ŽR –¯—Y (“Œ‹ž‘å�E�î•ñ—��H) | ||
| ’|‘º �²’Ê (“Œ‹ž‘å�E�î•ñ—��H) | ||
| 4 | ‘½•Ï—Ê�³‹K�«ŒŸ’è‚̃Oƒ‰ƒt•\Œ»–@ | |
| ’†�ì �d˜a (‘q•~Œ|�p‰ÈŠw‘å�EŽY‹Æ‰ÈŠw‹Z�p) | ||
| ‹´Œû ”ŽŽ÷ (“Œ‹ž—�‰È‘å�E—�) | ||
| �m–Ø ’¼�l (“Œ‹ž—�‰È‘å�E�H) | ||
| 5 | ƒ\�[ƒeƒBƒ“ƒO‰ß’ö‚ÉŒ»‚ê‚é—£ŽUŠm—¦•ª•z‚Æ‚»‚Ì�¸–§‰» | |
| “y‰® �‚�G (�é�¼‘å�E—�) | ||
| ’†‘º ‰i—F (ŽD–yŠw‰@‘å�EŒo�Ï) | ||
| 6 | Approximations to the percentiles for the contaminated normal distribution | |
| Žñ“¡ �M’Ê (�_ŒË‘å�EŠCŽ–‰ÈŠw) | ||
| 9ŒŽ15“ú(ŒŽ) | 15:30�`17:30 | E‰ï�ê (�¬“‡ƒz�[ƒ‹2ŠK ƒRƒ“ƒtƒ@ƒŒƒ“ƒXƒ‹�[ƒ€) |
| ƒZƒbƒVƒ‡ƒ“ |
“�Œv—�˜_ˆê”Ê�i‚T�j | |
| �À’· | �¼ŽR—zˆê (“�Œv�”—�Œ¤‹†�Š�E�”—��E�„˜_Œ¤‹†Œn) | |
| 1 | �u‹·‹`‰ÂŽZ�W�‡�v‚ÌŠT”O‚Ì“±“ü‚Æ‚»‚Ì“®‹@ | |
| �¼ŽR —zˆê (“�Œv�”—�Œ¤‹†�Š�E�”—��E�„˜_Œ¤‹†Œn) | ||
| 2 | Both concentration and
convergence of distribution of empirical distributions generated by resample
on Hilbert space obeys sample size as small to large |
|
| ŠÝ �´•� | ||
| 3 | Asymptotic comparison of location equivariant estimators for a family of truncated distributions | |
| ‘å’J“à “Þ•ä (’}”g‘å�E�”—�•¨Ž¿) | ||
| �Ô•½ �¹•¶ (’}”g‘å�E�”—�•¨Ž¿) | ||
| 4 | 2ŠK�üŒ`”÷•ª•û’öŽ®‚ð–ž‚½‚·ŠÖ�”‚Ì™p�æ‚Ì�«Ž¿‚Æ“�Œv‚ւ̉ž—p | |
| ŠÛ–Î ’¼‹M (“Œ‹ž‘å�E�î•ñ—��H) | ||
| ‘刢‹v �r‘¥ (“Œ‹ž�—Žq‘åŠw�EŒ»‘㋳—{Šw•”) | ||
| ’|‘º �²’Ê (“Œ‹ž‘å�E�î•ñ—��H) | ||
| 5 | �”‚Ì•W–{Šm—¦•ªŠ„‚©‚ç—LŒÀ•ê�W’c•ªŠ„‚ð�„’è‚·‚é‘f–p‚È•û–@ | |
| �a’J ��º (Œcœä‹`�m‘å�E—��H) | ||
| 6 | l_p-norm based James-Stein estimation with minimaxity and sparsity | |
| ŠÛŽR —S‘¢ (“Œ‹ž‘å�E‹óŠÔ�î•ñ) | ||
| 9ŒŽ15“ú(ŒŽ) | 15:30�`17:30 | F‰ï�ê (ˆãŠw•”‚P�†ŠÙ1ŠK �u“°) |
| ƒZƒbƒVƒ‡ƒ“ |
Œö“Iƒf�[ƒ^‚ÌŽû�W�EŒö•\�E•ª�Í‚Ì�Å‘O�ü | |
| �À’· | “y‰®—²—T (“�Œv�”—�Œ¤‹†�Š�E’²�¸‰ÈŠwŒ¤‹†ƒZƒ“ƒ^�[) | |
| 1 | •½�¬27”N�‘�¨’²�¸‚ÌŽÀŽ{‚ÉŒü‚¯‚Ä�[ƒCƒ“ƒ^�[ƒlƒbƒg’²�¸‚Ì‘S�‘“WŠJ‚ƃrƒbƒOƒ`ƒƒƒŒƒ“ƒW�[ | |
| •Û�‚ ”Ž”V (‘�–±�È�E“�Œv‹Ç) | ||
| 2 | ’²�¸•[ƒfƒUƒCƒ“‚ÉŠÖ‚·‚鎋�ü’Ç�ÕŽÀŒ± | |
| “y‰® —²—T (“�Œv�”—�Œ¤‹†�Š�E’²�¸‰ÈŠwŒ¤‹†ƒZƒ“ƒ^�[) | ||
| –p êŸ�¯ (“�Œv�”—�Œ¤‹†�Š�E’²�¸‰ÈŠwŒ¤‹†ƒZƒ“ƒ^�[) | ||
| 3 | Œ‡‘ª’l•â’è‚Ì�f’fŽè–@‚Æ‚µ‚Ă̑½�d‘ã“ü–@ | |
| �‚‹´ �«‹X (“�ŒvƒZƒ“ƒ^�[�E“�Œv�î•ñ�E‹Z�p•”) | ||
| 4 | ‘½ŽŸŒ³ƒNƒ�ƒX�WŒv•\‚É‚¨‚¯‚é ŠJަƒŠƒXƒN‚Æ�î•ñ—Ê‘¹Ž¸‚Ì‘ª’è |
|
| ”’�ì �´”ü (“�ŒvƒZƒ“ƒ^�[�E“�Œv�î•ñ�E‹Z�p•”) | ||
| 5 | �Z‘î�E“y’n“�Œv’²�¸“½–¼ƒf�[ƒ^‚ÌŠJަƒŠƒXƒN | |
| �¯–ì �L–¾ (‹à‘ò‘å�EŒo�Ï) | ||
| 6 | •ï—�•ª�Í–@‚Ì�V‹KƒAƒvƒ��[ƒ`‚Ì’ñˆÄ‚Æ‚»‚̉ž—p | |
| ›I ‹»‹N (‘Ñ�L’{ŽY‘å�E’nˆæŠÂ‹«ŠwŒ¤‹†•”–å) | ||
| –ì“c ‰p—Y (“Œ‹ž—�‰È‘å�EŒo‰c) | ||
| 9ŒŽ15“ú(ŒŽ) | 15:30�`17:30 | G‰ï�ê (ˆãŠw•”‚P�†ŠÙ3ŠK �u“°) |
| ƒZƒbƒVƒ‡ƒ“ |
‰uŠw�E�lŒû“�Œv | |
| �À’· | ‘å‘뎜 (�L“‡‘å�EŒ´”š•úŽË�üˆã‰ÈŠwŒ¤‹†�Š) | |
| 1 | �‚—îŽÒ‚ÌŒ’�N�ó‘Ô‚Æ—v‰îŒì•Ê—]–½: •Ÿ‰ªŽs‘S�”ƒf�[ƒ^‚Ì‘½‘Š�¶–½•\•ª�Í | |
| �›Œ´ �T–î (“Œ‹ž‘å�EŒo�Ï) | ||
| âV“¡ ˆÀ•F (“ú–{‘å�E‘��‡‰ÈŠw) | ||
| ’†‘º “ñ˜N (“ú–{‘å�E‘��‡‰ÈŠw) | ||
| 2 | ‚ª‚ñŽ€–Sƒf�[ƒ^‚ɑ΂·‚é•ω»ŒW�”ƒ‚ƒfƒ‹‚ð—p‚¢‚½ƒRƒz�[ƒgŒø‰Ê‚ÌŒŸ�o‚ɂ‚¢‚Ä | |
| •y“c “NŽ¡ (Œ§—§�L“‡‘å�EŒo‰c�î•ñŠw•”) | ||
| ‰Á–Î Œ›ˆê (ŽD–yˆã‰È‘å�Eˆã—Ã�lˆç�¬ƒZƒ“ƒ^�[) | ||
| �²“¡ Œ’ˆê (�L“‡‘å�EŒ´”š•úŽË�üˆã‰ÈŠwŒ¤‹†�Š) | ||
| 3 | •Ÿ“‡Œ§�uŒ§–¯Œ’�N’²�¸�v‚ɂ‚¢‚Ä | |
| �‚‹´ �G�l (•Ÿ“‡Œ§—§ˆã‰È‘åŠw ˆãŠw•”�E•úŽË�üˆãŠwŒ§–¯Œ’�NŠÇ—�ƒZƒ“ƒ^�[) | ||
| ŽÄ“c ‹`’å (•Ÿ“‡Œ§—§ˆã‰È‘åŠw ˆãŠw•”�E•úŽË�üˆãŠwŒ§–¯Œ’�NŠÇ—�ƒZƒ“ƒ^�[) | ||
| ‘啽 “N–ç (•Ÿ“‡Œ§—§ˆã‰È‘åŠw ˆãŠw•”�E•úŽË�üˆãŠwŒ§–¯Œ’�NŠÇ—�ƒZƒ“ƒ^�[) | ||
| ‘O“c �³Ž¡ (•Ÿ“‡Œ§—§ˆã‰È‘åŠw ˆãŠw•”�E•úŽË�üˆãŠwŒ§–¯Œ’�NŠÇ—�ƒZƒ“ƒ^�[) | ||
| �¼ˆä Žj˜Y (•Ÿ“‡Œ§—§ˆã‰È‘åŠw ˆãŠw•”�E•úŽË�üˆãŠwŒ§–¯Œ’�NŠÇ—�ƒZƒ“ƒ^�[) | ||
| —é–Ø áÁˆê (•Ÿ“‡Œ§—§ˆã‰È‘åŠw ˆãŠw•”�E•úŽË�üˆãŠwŒ§–¯Œ’�NŠÇ—�ƒZƒ“ƒ^�[) | ||
| �_’J Œ¤“ñ (•Ÿ“‡Œ§—§ˆã‰È‘åŠw ˆãŠw•”�E•úŽË�üˆãŠwŒ§–¯Œ’�NŠÇ—�ƒZƒ“ƒ^�[) | ||
| ŽR‰º �rˆê (•Ÿ“‡Œ§—§ˆã‰È‘åŠw ˆãŠw•”�E•úŽË�üˆãŠwŒ§–¯Œ’�NŠÇ—�ƒZƒ“ƒ^�[) | ||
| ˆÀ‘º �½Ži (•Ÿ“‡Œ§—§ˆã‰È‘åŠw ˆãŠw•”�E•úŽË�üˆãŠwŒ§–¯Œ’�NŠÇ—�ƒZƒ“ƒ^�[) | ||
| ˆ¢•” �³•¶ (•Ÿ“‡Œ§—§ˆã‰È‘åŠw ˆãŠw•”�E•úŽË�üˆãŠwŒ§–¯Œ’�NŠÇ—�ƒZƒ“ƒ^�[) | ||
| 4 | •ªŽU•s‹Ïˆê�³‹KŒoŽžƒf�[ƒ^‚ɑ΂·‚é�C�³GEE1‚Æ�üŒ`�¬�‡Œø‰Êƒ‚ƒfƒ‹‚Ì”äŠr�F‘Ù“àŒ´”š”픚ŽÒ‚Ì‚X�Ë‚©‚ç‚P‚S�Ë‚Ì ŒoŽž“IŽû�kŠúŒŒˆ³ƒf�[ƒ^‚ɑ΂·‚鉞—p |
|
| ’†“‡ ‰h“ñ (•úŽË�ü‰e‹¿Œ¤‹†�Š�E“�Œv•”) | ||
| 5 | ŽÐ‰ï‚Æ“�ŒvŠw�i‚»‚Ì‚S�j—3.11ˆÈŒã‚Ì�¬Ž™�b�ó‘B‚ª‚ñ— | |
| ŽÄ“c ‹`’å (•Ÿ“‡Œ§—§ˆã‰È‘åŠw�E•úŽË�üˆãŠwŒ§–¯Œ’�NŠÇ—�ƒZƒ“ƒ^�[) | ||
| 6 | �L“‡Œ´”š”픚ŽÒ‚ł̌Ō`Šà’´‰ßŽ€–SŠëŒ¯“x‚É‚¨‚¯‚é”ñ�‰Šú�ü—ʈˑ¶�«‚ɂ‚¢‚Ä | |
| ‘å‘ë Žœ (�L“‡‘å�EŒ´”š•úŽË�üˆã‰ÈŠwŒ¤‹†�Š) | ||
| ‘å’J ŒhŽq (�L“‡‘å�EŒ´”š•úŽË�üˆã‰ÈŠwŒ¤‹†�Š) | ||
| •y“c “NŽ¡ (Œ§—§�L“‡‘åŠw�EŒo‰c�î•ñŠw•”) | ||
| Œ´ Œ›�s (�L“‡‘å�EŒ´”š•úŽË�üˆã‰ÈŠwŒ¤‹†�Š) | ||
| �²“¡ —T�Æ (�L“‡‘å�EŒ´”š•úŽË�üˆã‰ÈŠwŒ¤‹†�Š) | ||
| ˆÉ�X �W•½ (�L“‡‘å�E—�) | ||
| �ì�ã �GŽj (�L“‡‘å�EŒ´”š•úŽË�üˆã‰ÈŠwŒ¤‹†�Š) | ||
| �¯ �³Ž¡ (�L“‡‘å�E–¼—_‹³Žö) | ||
| �²“¡ Œ’ˆê (�L“‡‘å�EŒ´”š•úŽË�üˆã‰ÈŠwŒ¤‹†�Š) | ||
| 9ŒŽ15“ú(ŒŽ) | 15:30�`17:30 | H‰ï�ê (ˆãŠw•”‚Q�†ŠÙ–{ŠÙ1ŠK �¬�u“°) |
| ƒZƒbƒVƒ‡ƒ“ |
Œv—ʃtƒ@ƒCƒiƒ“ƒX�i‚Q�j | |
| �À’· | ’ö“‡ŽŸ˜Y (–¼ŒÃ‰®Žs—§‘å�EŒo�Ï) | |
| 1 | ŽÐ�‰¿Ši‚©‚ç‚Ý‚½•Ä�‘ƒGƒlƒ‹ƒM�[‹ÆŠE‚Ì�M—pƒŠƒXƒNŒv‘ª | |
| “c–ì‘q —tŽq (–¾Ž¡‘å�E�æ’[�”—�‰ÈŠwŒ¤‹†‰È) | ||
| Š ‰® •��º (–¾Ž¡‘å�EƒOƒ��[ƒoƒ‹�EƒrƒWƒlƒX) | ||
| ŽR‘º ”\˜Y (–¾Ž¡‘å�EƒOƒ��[ƒoƒ‹�EƒrƒWƒlƒX) | ||
| ‰¤ ’| (ZWƒVƒXƒeƒ€) | ||
| �‚“c ‰p�s (“Œ–M‘åŠw�E—�) | ||
| 2 | The effect of the Fukushima nuclear disaster on bond risk premia of electric power companies | |
| ’ö“‡ ŽŸ˜Y (–¼ŒÃ‰®Žs—§‘åŠw�EŒo�Ï) | ||
| 3 | Œ‡‘ª’l‚ðŠÜ‚Þ’†�¬Šé‹Æ‘å‹K–Í�à–±�E”ñ�à–±ƒf�[ƒ^‚ð—p‚¢‚½�M—pƒŠƒXƒN•]‰¿ | |
| ˆÀ“¡ ‰ë˜a (�ç—t�H‹Æ‘åŠw�EŽÐ‰ïƒVƒXƒeƒ€‰ÈŠw•”) | ||
| ‹{–{ “¹Žq (�H“cŒ§—§‘åŠw�EŒo‰cƒVƒXƒeƒ€) | ||
| ˆíŒ© �¹”V (“�Œv�”—�Œ¤‹†�Š�EƒŠƒXƒN‰ð�Í�í—ªŒ¤‹†ƒZƒ“ƒ^�[) | ||
| ŽR‰º ’qŽu (“�Œv�”—�Œ¤‹†�Š�EƒŠƒXƒN‰ð�Í�í—ªŒ¤‹†ƒZƒ“ƒ^�[) | ||
| �‚‹´ �~ˆê (CRD‹¦‰ï�E‘��‡Œ¤‹†‘åŠw‰@‘åŠw) | ||
| 4 | MARKET-RATING MIGRATION AND TRANSITION ANALYSIS | |
| ŽR‘º ”\˜Y (–¾Ž¡‘å�EƒOƒ��[ƒoƒ‹�EƒrƒWƒlƒX) | ||
| Š ‰® •��º (–¾Ž¡‘å�EƒOƒ��[ƒoƒ‹�EƒrƒWƒlƒX) | ||
| �‚“c ‰p�s (“Œ–M‘åŠw�E—�) | ||
| “c–ì‘q —tŽq (–¾Ž¡‘å�E�æ’[�”—�‰ÈŠwŒ¤‹†‰È) | ||
| ‰¤ ’| (ZWƒVƒXƒeƒ€�EZWƒVƒXƒeƒ€) | ||
| 5 | Statistical Estimation for Optimal Dividend Barrier | |
| ”’�Î ”Ž (Œcœä‹`�m‘å�E—��H) | ||
| �¬�ò Œ’‘¾ (Œcœä‹`�m‘å�E—��H) | ||
| 6 | �‚•p“xŽæˆøŽs�ê‚É‚¨‚¯‚é‹à—ZŽžŒn—ñŠÔ‚̈ö‰Ê�«ŒŸ�Ø | |
| –؉º —º (‘å�ã‘å�EŒo�Ï) | ||
| ‘剮 �K•ã (‘å�ã‘å�EŒo�Ï) | ||
| 9ŒŽ15“ú(ŒŽ) | 15:30�`17:30 | I‰ï�ê (ˆãŠw•”‚Q�†ŠÙ–{ŠÙ3ŠK ‘å�u“°) |
| ƒZƒbƒVƒ‡ƒ“ |
‘½•ϗʉð�Í�i‚Q�j | |
| �À’· | ‘q“c”ŽŽj (“Œ‹ž‘å�E‹³—{) | |
| 1 | �¬�‡Œø‰Êƒ‚ƒfƒ‹‚ð—p‚¢‚½ƒZƒ~ƒpƒ‰ƒ�ƒgƒŠƒbƒN‚ȕω»ŒW�”‚Ì�„‘ª‚ɂ‚¢‚Ä | |
| �²“¡ Œ’ˆê (�L“‡‘å�EŒ´”š•úŽË�üˆã‰ÈŠwŒ¤‹†�Š) | ||
| •y“c “NŽ¡ (Œ§—§�L“‡‘åŠw�EŒo‰c�î•ñŠw•”) | ||
| 2 | ‘ŠŠÖŒW�”‚ªŠù’m‚ÌŒ©‚©‚¯�ã–³ŠÖŒW‚ȉñ‹A�i‚r‚t‚q�jƒ‚ƒfƒ‹‚É‚¨‚¯‚é�Å—Ç‹¤•Ï�„’è—Ê | |
| ‘q“c ”ŽŽj (“Œ‹ž‘å�E‹³—{) | ||
| �¼‰Y �s (Œcœä‹`�m‘å�E—��H) | ||
| 3 | �ö�Ý�¬’·‹È�üƒ‚ƒfƒ‹‚É‚¨‚¯‚é•ω»ŒW�”‚Ì“¯Žž�M—Š‹æŠÔ‚ɂ‚¢‚Ä | |
| ˆÉ�X �W•½ (�L“‡‘å�E—�) | ||
| �²“¡ Œ’ˆê (�L“‡‘å�EŒ´”š•úŽË�üˆã‰ÈŠwŒ¤‹†�Š) | ||
| 4 | 2’lŒ^‘ã•\“_‚É‚æ‚éƒNƒ‰ƒXƒ^ƒŠƒ“ƒO‚ð‘g‚Ý�ž‚ñ‚¾‰ñ‹A•ª�̓‚ƒfƒ‹ | |
| ŽR‰º —y (Œcœä‹`�m‘å�E—��H) | ||
| —é–Ø �G’j (Œcœä‹`�m‘å�E—��H) | ||
| 5 | LMSR-method‚É‚æ‚鑽•Ï—Ê”ñ�üŒ`‰ñ‹A‚Æ‚»‚̉ž—p | |
| “à“¡ ŠÑ‘¾ (“‡�ª‘å�E‘��‡—��HŠwŒ¤‹†‰È) | ||
| �´�… �Ë‘¾ (“‡�ª‘å�E‘��‡—��HŠwŒ¤‹†‰È) | ||
| 6 | Selection of model selection criteria in some situation for multivariate ridge regression | |
| ‰iˆä —E (’†‹ž‘åŠw�E�‘�Û‹³—{Šw•”) | ||
| 9ŒŽ16“ú( |
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| 9ŒŽ16“ú(‰Î) | 10:00�`12:00 | A‰ï�ê (‹³ˆçŠw•”“�1ŠK 156�u‹`Žº) |
| ƒZƒbƒVƒ‡ƒ“ |
Šé‰æƒZƒbƒVƒ‡ƒ“�F“�Œv‹³ˆç‘åŠwŠÔ˜AŒgƒlƒbƒgƒ��[ƒN�iJINSE�j‚ÌŽæ‚è‘g‚Ý�󋵂Æ�¡Œã | |
| ƒI�[ƒKƒiƒCƒU�[ | ”ü“Y‘×�l (�ÂŽRŠw‰@‘å�EŒo�Ï) | |
| �À’· | ”ü“Y‘×�l (�ÂŽRŠw‰@‘å�EŒo�Ï) | |
| 1 | “�Œv‹³ˆç‘åŠwŠÔ˜AŒgƒlƒbƒgƒ��[ƒN�iJINSE�j‚ÌŠT—v‚ÆŠˆ“® | |
| ”ü“Y ‘×�l (�ÂŽRŠw‰@‘å�EŒo�Ï) | ||
| 2 | “�Œv‹³ˆç‚ƎЉ‹�‚ß‚é�l�Þ | |
| �M‰ª Žj—Y ((�à)“ú–{“�Œv‹¦‰ï�E�ê–±—�Ž–) | ||
| 3 | ˜AŒg‘åŠwŠw�¶‚ð‘Î�Û‚Æ‚µ‚½“�ŒvŠw‚ւ̈ӎ¯ƒAƒ“ƒP�[ƒg’²�¸‚Ì•ª�Í | |
| ’†�¼ аŽq (�¬æü‘å�E–¼—_‹³Žö) | ||
| 4 | JINSE e-Learning ƒVƒXƒeƒ€�FƒAƒJƒfƒ~ƒbƒNƒNƒ‰ƒEƒh‚ð—˜—p‚µ‚½“�Œv‹³ˆçƒRƒ“ƒeƒ“ƒc‚Ì‹¤—L | |
| �h‹v —m (“¯ŽuŽÐ‘å�E•¶‰»�î•ñ) | ||
| ––‰i �Ÿ�ª (ŽŽ™“‡�ƒ�S�—Žq’ZŠú‘å�E�¶ŠˆŠw‰È) | ||
| “ì �O�ª (–kŠC“¹‘å�E�î•ñŠî”ÕƒZƒ“ƒ^�[) | ||
| ŽRŒû ˜a”Í (—§‹³‘å�EŒo‰c) | ||
| 5 | “�Œv‰ÈŠw‹³ˆç�„�i‚ÉŠÖ‚·‚éŠw�p‰ï‹c‚Å‚Ì�R‹c‚ÉŠÖ‚·‚é•ñ�� | |
| ’|‘º �²’Ê (“Œ‹ž‘å�E�î•ñ—��H) | ||
| 9ŒŽ16“ú(‰Î) | 10:00�`12:00 | B‰ï�ê (Œo�ÏŠwŒ¤‹†‰È“�’n‰º1ŠK ‘æ1‹³Žº) |
| ƒZƒbƒVƒ‡ƒ“ |
Šé‰æƒZƒbƒVƒ‡ƒ“�FƒXƒ|�[ƒcƒrƒWƒlƒX‚ÌŒv—Ê•ª�Í�FƒvƒŒ�[ƒ„�[‚ƃtƒ@ƒ“‚Ì‘ŠŒÝ�ì—p‚ð’T‚é | |
| ƒI�[ƒKƒiƒCƒU�[ | �…–ì�½ (–¾Ž¡‘å�E�¤) | |
| �À’· | �…–ì�½ (–¾Ž¡‘å�E�¤) | |
| 1 | ƒvƒ�–ì‹…‹…’c‚Æ‘IŽè‚ÉŠÖ‚·‚é‘I�DˆÓޝ’²�¸‚Æ‚»‚Ì•ª�Í | |
| �…–ì �½ (–¾Ž¡‘å�E�¤) | ||
| �Γc ‘å“T (’鋞‘å�EŒo�Ï) | ||
| 2 | ƒtƒ@ƒ“�S—�‚Ɖž‰‡�s“®‚ÉŠÖ‚·‚éŽÐ‰ï�S—�Šw“IŒ¤‹†�Fƒvƒ�–ì‹…ƒtƒ@ƒ“‚ð‘è�Þ‚É | |
| ŽO‰Y –ƒŽq (ŠÖ�¼Šw‰@‘åŠw�E•¶Šw•”) | ||
| 3 | ƒvƒ�–ì‹…‘IŽè‚Ì�¶‘¶‹È�ü•ª�Í——�u�¶‚¦”²‚«�v‘IŽè‚ð’†�S‚É—— | |
| ŒË�Î Žµ�¶ (“Œ‹ž‘å�E”_Šw�¶–½‰ÈŠw) | ||
| 4 | ‘g�Dƒfƒ‚ƒOƒ‰ƒtƒB�[‚É‚æ‚éƒ`�[ƒ€‚̃‚ƒfƒ‹•ª�Í | |
| ˆî�… �L�s (’}”g‘å�EƒrƒWƒlƒX‰ÈŠw) | ||
| �╽ •¶”Ž (�\‘¢Œv‰æŒ¤‹†�Š�E‘n‘¢�HŠw•”) | ||
| 9ŒŽ16“ú(‰Î) | 10:00�`12:00 | C‰ï�ê (Œo�ÏŠwŒ¤‹†‰È“�3ŠK ‘æ2‹³Žº) |
| ƒZƒbƒVƒ‡ƒ“ |
Šé‰æƒZƒbƒVƒ‡ƒ“�F�‚•p“x�]‘®ƒf�[ƒ^‚Ì�„‘ª—�˜_ | |
| ƒI�[ƒKƒiƒCƒU�[ | ‘�“c�O‹B (‹ã�B‘å�Eƒ}ƒX�EƒtƒHƒA�EƒCƒ“ƒ_ƒXƒgƒŠŒ¤‹†�Š) | |
| �À’· | ‘�“c�O‹B (‹ã�B‘å�Eƒ}ƒX�EƒtƒHƒA�EƒCƒ“ƒ_ƒXƒgƒŠŒ¤‹†�Š) | |
| 1 | ”ñ“¯ŠúŠÏ‘ª‰º‚É‚¨‚¯‚é‹[Ž—–Þ“x‰ð�Í | |
| ‰¬Œ´ “N•½ ( |
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| 2 | ’´�‚•p“x‹à—Zƒf�[ƒ^‚ƃWƒƒƒ“ƒv�„’è | |
| �¬’r —S‘¾ (“Œ‹ž‘å�E�”—�) | ||
| 3 | ƒfƒtƒHƒ‹ƒgƒŠƒXƒN‚ɑ΂·‚éGerber-Shiu‰ð�͂Ɠ�Œv“I�„‘ª | |
| �´�… ‘×—² (‘�ˆî“c‘å�E—��H) | ||
| 4 | �‚•p“xƒf�[ƒ^‰ð�͂ɂ¨‚¯‚é�‚ŽŸ‹ÉŒÀ’è—� | |
| ‹g“c •ü�L (“Œ‹ž‘å�E�”—�) | ||
| 9ŒŽ16“ú(‰Î) | 10:00�`12:00 | E‰ï�ê (�¬“‡ƒz�[ƒ‹2ŠK ƒRƒ“ƒtƒ@ƒŒƒ“ƒXƒ‹�[ƒ€) |
| ƒZƒbƒVƒ‡ƒ“ |
“�Œv—�˜_ˆê”Ê�i‚U�j | |
| �À’· | �¬Š}Œ´�t•F (�¬’M�¤‰È‘å�E�¤) | |
| 1 | Žw�”•ª•z‘°‚É‚¨‚¯‚éƒJƒmƒjƒJƒ‹ƒpƒ‰ƒ��[ƒ^‚Ì�„’è—ʂ̑Q‹ßƒLƒ…ƒ~ƒ…ƒ‰ƒ“ƒg | |
| �¬Š}Œ´ �t•F (�¬’M�¤‰È‘å�E�¤) | ||
| 2 | 1•ê�”Žw�”•ª•z‘°‚É‚¨‚¯‚éŒ`�ó�§–ñ‚¨‚æ‚ѕω»“_‰¼�à‚Ö‚Ì‘��‡“I�Ú‹ß–@ | |
| �L’à �ç�q (–¾�¯‘å�E˜AŒgŒ¤‹†ƒZƒ“ƒ^�[) | ||
| ’ß“c —z˜a (–k—¢‘å�Eˆã—Ã�î•ñ ) | ||
| 3 | Estimation of principal points of multivariate normal distributions when principal points are collinear | |
| �¼‰Y �s (Œcœä‹`�m‘å�E—��H) | ||
| Tarpey Thaddeus (Wright State University�EDepartment of Mathematics and Statistics) | ||
| 4 | —\‘ª‚ÌŠÏ“_‚©‚ç‚ÌŽw�”•ª•z�„’è | |
| ’|àV –M•v (’†‰›”_‹Æ‘��‡Œ¤‹†ƒZƒ“ƒ^�[�E�î•ñ—˜—pŒ¤‹†—̈æ) | ||
| 5 | ‹¤•ϗʂ̒l‚ª•ω»‚·‚é�󋵉º‚Å‚Ì�üŒ`�¬�‡ƒ‚ƒfƒ‹‚Ì•Ï�”‘I‘ð‚Æ‚»‚Ì�¬’nˆæ�„’è‚ւ̉ž—p | |
| �ì‹v•Û —F’´ (“Œ‹ž‘å�EŒo�Ï) | ||
| �›àV ãÄ”V�• (“Œ‹ž‘å�EŒo�Ï) | ||
| ‹v•Û�ì ’B–ç (“Œ‹ž‘å�EŒo�Ï) | ||
| 6 | “ñ�dƒpƒ‰ƒ��[ƒ^‰»“ñ�dƒpƒŒ�[ƒg‘Î�”�³‹K•ª•z‚Ì�Š“¾•ª•z‚Ö‚Ì“–‚Ä‚Í‚ß | |
| ‰ª–{ ��l (‘�–±�È�E“�ŒvŒ¤�C�Š) | ||
| 9ŒŽ16“ú( |
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| 9ŒŽ16“ú(‰Î) | 12:10�`12:40 | A‰ï�ê (‹³ˆçŠw•”“�1ŠK 156�u‹`Žº) |
| ƒZƒbƒVƒ‡ƒ“ |
“�ŒvŠÖ˜AŠw‰ï˜A�‡‘å‰ï“Á•ʃZƒbƒVƒ‡ƒ“ �u“�ŒvŠw‚ÌŠe•ª–ì‚É‚¨‚¯‚鋳ˆç‰Û’ö•Ò�¬�ã‚ÌŽQ�ÆŠî�€‚ɂ‚¢‚Ä�v | |
| �À’· | Š™‘q–«�¬ (’†‰›‘å�EŒo‰cƒVƒXƒeƒ€) | |
| 1 | “�ŒvŠw‚ÌŠe•ª–ì‚É‚¨‚¯‚鋳ˆç‰Û’ö•Ò�¬�ã‚ÌŽQ�ÆŠî�€‚ɂ‚¢‚Ä | |
| Šâ�è Šw (�¬æü‘å�E—��H) | ||
| 9ŒŽ16“ú( |
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| 9ŒŽ16“ú(‰Î) | 13:00�`15:00 | A‰ï�ê (‹³ˆçŠw•”“�1ŠK 156�u‹`Žº) |
| ƒZƒbƒVƒ‡ƒ“ |
‘Q‹ß—�˜_ | |
| �À’· | Š`‘ò‰À�G (–kŠC“¹‘å�EŒo�Ï) | |
| 1 | Estimation of the tail index for lattice-valued sequences | |
| �¼ˆä �@–ç (“ìŽR‘å�EŒo‰c) | ||
| 2 | Sparse-Bridge�„’è‚É‚¨‚¯‚郂�[ƒ�ƒ“ƒgŽû‘© | |
| �´�… —D—S (‹ã�B‘å�E�”—�) | ||
| ‘�“c �O‹B (‹ã�B‘å�Eƒ}ƒX�EƒtƒHƒA�EƒCƒ“ƒ_ƒXƒgƒŠŒ¤‹†�Š) | ||
| 3 | ‘Î�”Žü•Ó–Þ“x‚Ì‘Q‹ß‹““®‚ɂ‚¢‚Ä | |
| �]Œû ãĈê (‹ã�B‘å�E�”—�) | ||
| ‘�“c �O‹B (‹ã�B‘å�Eƒ}ƒX�EƒtƒHƒA�EƒCƒ“ƒ_ƒXƒgƒŠŒ¤‹†�Š) | ||
| 4 | �î•ñ—�˜_‚É‚¨‚¯‚郆ƒjƒo�[ƒTƒ‹‚ȃxƒCƒY‘ª“x‚̔ĉ»Œë�·‚Ì—�˜_“I‰ð�͂Ɠ�Œv‰ÈŠw‚ւ̉ž—p | |
| ˆ»–ì �F‘¥ (‘å�ã‘å�E—�) | ||
| —é–Ø �÷ (‘å�ã‘å�E—�) | ||
| 5 | ”ñ�³‹K�«‚̉º‚ł̑½•Ï—Ê�üŒ`ƒ‚ƒfƒ‹‚ɑ΂·‚é�‚ŽŸŒ³‘Q‹ß—�˜_ | |
| •P–ì “N�l (�¬æü‘å�E—��H) | ||
| ŽR“c —²�s (“ú–{‘å�E�H) | ||
| 6 | ƒu�[ƒgƒXƒgƒ‰ƒbƒv�Eƒo�[ƒgƒŒƒbƒgŒ^’²�®‚ɂ‚¢‚Ä | |
| Š`‘ò ‰À�G (–kŠC“¹‘å�EŒo�Ï) | ||
| 9ŒŽ16“ú(‰Î) | 13:00�`15:00 | B‰ï�ê (Œo�ÏŠwŒ¤‹†‰È“�’n‰º1ŠK ‘æ1‹³Žº) |
| ƒZƒbƒVƒ‡ƒ“ |
Šé‰æƒZƒbƒVƒ‡ƒ“�FƒXƒ|�[ƒc“�Œv‰ÈŠw‚Ì•û–@˜_ | |
| ƒI�[ƒKƒiƒCƒU�[ | ’|“àŒõ‰x (ŽÀ‘H�—Žq‘åŠw�E�lŠÔŽÐ‰ïŠw•”) | |
| �À’· | ’|“àŒõ‰x (ŽÀ‘H�—Žq‘åŠw�E�lŠÔŽÐ‰ïŠw•”) | |
| 1 | –ì‹…‚É‚¨‚¯‚é“à–ìŽç”õ‚Ì“K�؂ȃ|ƒWƒVƒ‡ƒjƒ“ƒO | |
| �¬–¸ “§ (ŽO�d‘å�EˆãŠw•”•�‘®•a‰@) | ||
| Š™‘q –«�¬ (’†‰›‘å�E—��H) | ||
| 2 | �¶‘¶ŽžŠÔ‰ð�Í‚ð—p‚¢‚½“ú–{ƒvƒ�–ì‹…‚É‚¨‚¯‚é‹…�”“™‚Ì�lŽ@ | |
| �㌴ ‘�–¶ (ƒf�[ƒ^ƒXƒ^ƒWƒAƒ€�Eƒx�[ƒXƒ{�[ƒ‹Ž–‹Æ•”) | ||
| ’|‘º �²’Ê (“Œ‹ž‘å�E�î•ñ—��H) | ||
| 3 | ƒXƒyƒNƒgƒ‹�³‘¥‰»–@‚ð—p‚¢‚½–¢‘Î�í�¬�т̗\‘ª | |
| Žð�Ü •¶•� (’†‰›‘å�E—��H) | ||
| �•àV ‘åŽ÷ (’†‰›‘å�E—��H) | ||
| ”©ŽR ‹¿ (’†‰›‘å�E—��H) | ||
| 4 | �‘“àŠO‚É‚¨‚¯‚éƒXƒ|�[ƒc“�ŒvŠw‚Ö‚ÌŽæ‚è‘g‚Ý | |
| Žð�Ü •¶•� (’†‰›‘å�E—��H) | ||
| ‹à‘ò Œd (ƒf�[ƒ^ƒXƒ^ƒWƒAƒ€�Eƒx�[ƒXƒ{�[ƒ‹Ž–‹Æ•”) | ||
| ‘ê�ì —L�L (ƒf�[ƒ^ƒXƒ^ƒWƒAƒ€�Eƒtƒbƒgƒ{�[ƒ‹Ž–‹Æ•”) | ||
| 9ŒŽ16“ú(‰Î) | 13:00�`15:00 | C‰ï�ê (Œo�ÏŠwŒ¤‹†‰È“�3ŠK ‘æ2‹³Žº) |
| ƒZƒbƒVƒ‡ƒ“ |
‘½•ϗʉð�Í�i‚R�j | |
| �À’· | •º“ª�¹ (“Œ‹ž—�‰È‘å�E—�) | |
| 1 | �‚ŽŸŒ³˜g‘g‚݂ɂ¨‚¯‚é2ŽŸ”»•ÊŠÖ�”‚Ì‘Q‹ß�³‹K�«‚ɂ‚¢‚Ä | |
| •º“ª �¹ (“Œ‹ž—�‰È‘å�E—�) | ||
| 2 | Testing the block-diagonal covariance structure for high-dimensional data | |
| �¼ŽR ‹M�O (�ê�C‘åŠw�EŒo‰c) | ||
| •º“ª �¹ (“Œ‹ž—�‰È‘å�E—�) | ||
| Žñ“¡ �M’Ê (�_ŒË‘å�E‘åŠw‰@ŠCŽ–‰ÈŠwŒ¤‹†‰È) | ||
| Pavlenko Tatjana (KTH Royal Institute of Technology�EDepartment of Mathematics) | ||
| 3 | •ªŽU‹¤•ªŽU�s—ñ‚ª‹ß‚¢�ê�‡‚Å‚Ì�üŒ`”»•ÊŠÖ�”‚Æ2ŽŸ”»•ÊŠÖ�”‚Ì”äŠr | |
| ’†�ì ’q”V (�L“‡‘å�E—�) | ||
| Žá–Ø �G•¶ (�L“‡‘å�E—�) | ||
| 4 | ˆê”ʉ»ŠÖ�”�³�€‘ŠŠÖ•ª�͂̒莮‰»‚Æ‚»‚Ì�«Ž¿‚ɂ‚¢‚Ä | |
| ŽR–{ —Ï�¶ (‹ž“s‘å�Eˆã) | ||
| 5 | �‚ŽŸŒ³�¬•W–{‚É‚¨‚¯‚éƒiƒC�[ƒu‚È�³�€‘ŠŠÖŒW�”‚Ì‘Q‹ß‹““®‚ɂ‚¢‚Ä | |
| ‹Ê’J �[ (“‡�ª‘å�E‘��‡—��HŠwŒ¤‹†‰È) | ||
| “à“¡ ŠÑ‘¾ (“‡�ª‘å�E‘��‡—��HŠwŒ¤‹†‰È) | ||
| 6 | ’ljÁ“I‚È‹¤•Ï—Ê‚ð‚à‚¿‚¢‚½�‚ŽŸŒ³‹¤•ªŽU�s—ñ‚Ì�„’è | |
| ’r“c —SŽ÷ (“Œ‹ž‘å�EŒo�Ï) | ||
| ‹v•Û�ì ’B–ç (“Œ‹ž‘å�EŒo�Ï) | ||
| 9ŒŽ16“ú(‰Î) | 13:00�`15:00 | E‰ï�ê (�¬“‡ƒz�[ƒ‹2ŠK ƒRƒ“ƒtƒ@ƒŒƒ“ƒXƒ‹�[ƒ€) |
| ƒZƒbƒVƒ‡ƒ“ |
“�Œv—�˜_ˆê”Ê�i‚V�j | |
| �À’· | ŒI–Ø“N (“�Œv�”—�Œ¤‹†�Š�E�”—��E�„˜_Œ¤‹†Œn) | |
| 1 | ‹G�ߕϓ®‚ð�l—¶‚µ‚½“®“I‘ä•—ˆÚ“®ƒ‚ƒfƒ‹‚Ì�\’z | |
| ’†–ì �T–ç (“�Œv�”—�Œ¤‹†�Š�Eƒ‚ƒfƒŠƒ“ƒOŒ¤‹†Œn) | ||
| —é–Ø ��ŽõŒb (“�Œv�”—�Œ¤‹†�Š�Eƒf�[ƒ^“¯‰»Œ¤‹†ŠJ”ƒZƒ“ƒ^�[) | ||
| �ã–ì Œº‘¾ (“�Œv�”—�Œ¤‹†�Š�Eƒ‚ƒfƒŠƒ“ƒOŒ¤‹†Œn) | ||
| 2 | ‘ª“x‹óŠÔ�ã‚̃fƒUƒCƒ“—�˜_‚Ì�\’z‚ÉŒü‚¯‚½ŽŽ‚Ý | |
| àV �³Œ› (�_ŒË‘å�E‘åŠw‰@ƒVƒXƒeƒ€�î•ñŠwŒ¤‹†‰È) | ||
| 3 | �M—Š‹æŠÔ‚Ì•�‚ð�Å�¬‚É‚·‚éƒt�[ƒŠƒG�E‘½�€Ž®�Å“KŽÀŒ±Œv‰æ | |
| ŒI–Ø “N (“�Œv�”—�Œ¤‹†�Š�E�”—��E�„˜_Œ¤‹†Œn) | ||
| Wynn Henry, P. (The University of London�EThe London School of Ecomonics and Political Science) | ||
| 4 | ƒ}ƒ‹ƒRƒtŠî’ê‚ð—p‚¢‚½ˆê•”ŽÀŽ{Œv‰æ‚̃Tƒ“ƒvƒŠƒ“ƒO | |
| �Â–Ø •q (ŽŽ™“‡‘å�E—��H) | ||
| 5 | Semi-critical mode of marked Hawkes processes | |
| �¯ Œš‘q (“�Œv�”—�Œ¤‹†�Š�Eƒ‚ƒfƒŠƒ“ƒOŒ¤‹†Œn) | ||
| 6 | Œø—pŠÖ�”˜_‚É‚¨‚¯‚éƒtƒ@ƒWƒB˜_“IƒAƒvƒ��[ƒ` | |
| –x –FŽ÷ (“�Œv�”—�Œ¤‹†�Š�EŠO—ˆŒ¤‹†ˆõ) | ||
| ’Ö �LŒv (“�Œv�”—�Œ¤‹†�Š�Eƒf�[ƒ^‰ÈŠwŒ¤‹†Œn) | ||