Bayesian approach to a definition of random sequences and its applications to statistical inference

Author

Takahashi, Hayato

Author_Institution

Dept. of Math. & Comput. Sci., Tokyo Inst. of Technol.

fYear

2006

fDate

9-14 July 2006

Firstpage

2180

Lastpage

2184

Abstract

We introduce a universal Bayes test, which is a Bayesian version of Martin-Lof test. Then we define random sequences with respect to parametric models based on our universal Bayes test. We state some theorems related to Bayesian statistical inference in terms of random sequence

Keywords

inference mechanisms; random sequences; statistical testing; Bayesian approach; Martin-Lof test; random sequences; statistical inference; universal Bayes test; Bayesian methods; Distributed computing; Parameter estimation; Parametric statistics; Probability; Random sequences; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory, 2006 IEEE International Symposium on

Conference_Location

Seattle, WA

Print_ISBN

1-4244-0505-X

Electronic_ISBN

1-4244-0504-1

Type

conf

DOI

10.1109/ISIT.2006.261937

Filename

4036356

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2948368