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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
R 2021-10-22
14:25		 Online Online [Invited Talk] Field Lifetime Data Analysis with Left-truncation and Right-censoring -- Statistical Inference and Reliability Prediction based on Parametric Models --
Takeshi Emura (Kurume Univ.), Hirofumi Michimae (Kitasato Univ.) R2021-31		 In applications of reliability analyses, a dataset may be collected during a period of time to observe failure events. L... [more] R2021-31
pp.7-12
IBISML 2018-11-05
15:10		 Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Inference for Logitistic Regression Mixture Model with Local Variational Approximation and Study for Variational Free Energy
Fumito Nakamura, Ryosuke Konishi (Generic Solution), Yasushi Kiyoki (Keio) IBISML2018-48		 A logistic regression mixture model (LRMM) is a mixed model of the Logistic regression model, and it is widely used in t... [more] IBISML2018-48
pp.29-36
PRMU, IBISML, IPSJ-CVIM [detail] 2017-09-15
10:30		 Tokyo   Experimental Analysis of Variational Bayesian Method in Model Selection of Gaussian Mixture Model by Singular Bayesian Information Criterion
Naoki Hayashi (Tokyo Tech), Fumito Nakamura (Bosch) PRMU2017-41 IBISML2017-13		 A Gaussian mixture model (GMM) is a statistical model used in various fields such a pattern recognition, thus, it is imp... [more] PRMU2017-41 IBISML2017-13
pp.19-26
R 2008-12-12
13:25		 Tokyo Kikai-Shinko-Kaikan Bldg. Consistent estimators of parameters of three-parameter gamma disitribution
Hideki Nagatsuka, Hisashi Yamamoto (Tokyo Metropolitan Univ.), Toshinari Kamakura (Chuo Unive.) R2008-40		 The three-parameter gamma distribution, having location (threshold), scale and shape parameters, is frequently used as a... [more] R2008-40
pp.7-10
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