DocumentCode
1074277
Title
Sampling Binary Contingency Tables
Author
Bezakova, Ivona
Author_Institution
Rochester Inst. of Technol., Rochester
Volume
10
Issue
2
fYear
2008
Firstpage
26
Lastpage
31
Abstract
The binary contingency tables problem has sparked the interest of statisticians and computer scientists alike. Although it´s been studied from both theoretical and practical perspectives, a truly usable algorithm remains elusive. The author presents several approaches to the problem.
Keywords
Markov processes; algorithm theory; importance sampling; algorithm; binary contingency table sampling; importance sampling; Birds; Distributed computing; Geologic measurements; Geology; Monte Carlo methods; Sampling methods; Sparks; Statistical analysis; Statistics; Testing; binary tables; combinatorial; combinatorics; combinatorics in computing; computing; statistics;
fLanguage
English
Journal_Title
Computing in Science & Engineering
Publisher
ieee
ISSN
1521-9615
Type
jour
DOI
10.1109/MCSE.2008.62
Filename
4454428
Link To Document