Academic Thesis

Basic information

Name Kuroda Masahiro
Belonging department
Occupation name
researchmap researcher code 5000032373
researchmap agency Okayama University of Science

Title 

Bayesian sequential learning from incomplete data on decomposable graphical models

					

					

						

							

								

									
Bibliography　Type 

									
								

							

						

						

					

					

						

							

								

									
Author 

									
								

							

						

						
Kuroda, M., Geng, Z. and Niki, N.

					

					

						

							

								

									
Summary 

									
								

							

						

						


Bayesian sequential learning from incomplete data on decomposable graphical models


					

					

						

							

								

									
Magazine(name) 

									
								

							

						

						
Journal of the Japanese Society of Computational Statistics

					

					

						

							

								

									
Publisher 

									
								

							

						

						

					

					

						

							

								

									
Volume 

									
								

							

						

						
14

					

					

						

							

								

									
Number Of Pages 

									
								

							

						

						
1

					

					

						

							

								

									
StartingPage 

									
								

							

						

						
11

					

					

						

							

								

									
EndingPage 

									
								

							

						

						
29

					

					

						

							

								

									
Date of Issue 

									
								

							

						

						
2001/00

					

					

						

							

								

									
Referee 

									
								

							

						

						
Exist

					

					

						

							

								

									
Invited 

									
								

							

						

						
Not exist

					

					

						

							

								

									
Language 

									
								

							

						

						
English

					

					

						

							

								

									
Thesis　Type 

									
								

							

						

						
Research papers (academic journals)

					

					

						

							

								

									
ISSN 

									
								

							

						

						

					

					

						

							

								

									
DOI 

									
								

							

						

						

					

					

						

							

								

									
NAID 

									
								

							

						

						

					

					

						

							

								

									
PMID 

									
								

							

						

						

					

					

						

							

								

									
URL 

									
								

							

						

						

					

					

						

							

								

									
J-GLOBAL ID 

									
								

							

						

						

					

					

						

							

								

									
arXiv ID 

									
								

							

						

						

					

					

						

							

								

									
ORCID Put Code 

									
								

							

						

						

					

					

						

							

								

									
DBLP ID