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Paper Abstract and Keywords
Presentation 2023-01-25 14:35
An Optimal Prediction on Multilevel Coefficient Linear Regression Model by Bayes Decision Theory and Its Approximation Method
Kohei Horinouchi, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-67 SIP2022-118 RCS2022-246
Abstract (in Japanese) (See Japanese page) 
(in English) It is common practice to apply Multilevel Analysis for the data sampled from various classes. In this Analysis, it is considered about parameter estimation. On the other hand, in our research, we consider predicting new data sampled from an unknown class. We consider that there is a parameter that affects all classes and the other that affects a specific class. Finally, we lead to bayes optimal prediction of our model with variational bayes algorithm.
Keyword (in Japanese) (See Japanese page) 
(in English) Multilevel Data / Multilevel Analysis / Linear Mixed Models / Fixed Regression Parameter / Random Regression Parameter / Variational Bayes Algorithm / Bayes Optimal Prediction /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 355, IT2022-67, pp. 217-222, Jan. 2023.
Paper # IT2022-67 
Date of Issue 2023-01-17 (IT, SIP, RCS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IT2022-67 SIP2022-118 RCS2022-246

Conference Information
Committee IT RCS SIP  
Conference Date 2023-01-24 - 2023-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Maebashi Terrsa 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IT 
Conference Code 2023-01-IT-RCS-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Optimal Prediction on Multilevel Coefficient Linear Regression Model by Bayes Decision Theory and Its Approximation Method 
Sub Title (in English)  
Keyword(1) Multilevel Data  
Keyword(2) Multilevel Analysis  
Keyword(3) Linear Mixed Models  
Keyword(4) Fixed Regression Parameter  
Keyword(5) Random Regression Parameter  
Keyword(6) Variational Bayes Algorithm  
Keyword(7) Bayes Optimal Prediction  
Keyword(8)  
1st Author's Name Kohei Horinouchi  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Koshi Shimada  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Toshiyasu Matsushima  
3rd Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2023-01-25 14:35:00 
Presentation Time 25 minutes 
Registration for IT 
Paper # IT2022-67, SIP2022-118, RCS2022-246 
Volume (vol) vol.122 
Number (no) no.355(IT), no.356(SIP), no.357(RCS) 
Page pp.217-222 
#Pages 6 
Date of Issue 2023-01-17 (IT, SIP, RCS) 

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