Academic Thesis

Basic information

Name Nakagawa Shigekazu
Belonging department
Occupation name
researchmap researcher code 1000113841
researchmap agency Okayama University of Science

Title 

MCMC using Markov bases for computing -values in decomposable log-linear models

					

					

						

							

								

									
Bibliography　Type 

									
								

							

						

						
Joint Author

					

					

						

							

								

									
Author 

									
								

							

						

						
Masahiro Kuroda ,  Hiroki Hashiguchi ,  Shigekazu Nakagawa ,  Zhi Geng

					

					

						

							

								

									
Summary 

									
								

							

						

						

					

					

						

							

								

									
Magazine(name) 

									
								

							

						

						
Computational Statistics

					

					

						

							

								

									
Publisher 

									
								

							

						

						
SPRINGER HEIDELBERG

					

					

						

							

								

									
Volume 

									
								

							

						

						
28

					

					

						

							

								

									
Number Of Pages 

									
								

							

						

						
2

					

					

						

							

								

									
StartingPage 

									
								

							

						

						
831

					

					

						

							

								

									
EndingPage 

									
								

							

						

						
850

					

					

						

							

								

									
Date of Issue 

									
								

							

						

						
2013/04

					

					

						

							

								

									
Referee 

									
								

							

						

						
Exist

					

					

						

							

								

									
Invited 

									
								

							

						

						
Not exist

					

					

						

							

								

									
Language 

									
								

							

						

						
English

					

					

						

							

								

									
Thesis　Type 

									
								

							

						

						
Research papers (academic journals)

					

					

						

							

								

									
ISSN 

									
								

							

						

						
0943-4062

					

					

						

							

								

									
DOI 

									
								

							

						

						
10.1007/s00180-012-0331-3

					

					

						

							

								

									
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