Rapidly mixing Markov chains for sampling contingency tables with a constant number of rows

Type: Article

Publication Date: 2003-06-26

Citations: 18

DOI: https://doi.org/10.1109/sfcs.2002.1181996

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Works That Cite This (17)

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+ PDF Chat A polynomial-time algorithm to approximately count contingency tables when the number of rows is constant 2003 Mary Cryan
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Dana Randall
+ Random generation of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"><mml:mn>2</mml:mn><mml:mo>×</mml:mo><mml:mn>2</mml:mn><mml:mo>×</mml:mo><mml:mo>⋯</mml:mo><mml:mo>×</mml:mo><mml:mn>2</mml:mn><mml:mo>×</mml:mo><mml:mi>J</mml:mi></mml:math> contingency tables 2004 Tomomi Matsui
Yasuko Matsui
Yoko Ono
+ Markov bases of three-way tables are arbitrarily complicated 2005 Jesús A. De Loera
Shmuel Onn
+ PDF Chat A polynomial-time algorithm to approximately count contingency tables when the number of rows is constant 2002 Mary Cryan
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+ Polynomial time perfect sampling algorithm for two‐rowed contingency tables 2005 Shuji Kijima
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+ PDF Chat Analysis of Markov chain algorithms on spanning trees, rooted forests, and connected subgraphs 2005 Johannes Fehrenbach
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+ Perfect sampling algorithm for small m×n contingency tables 2009 Nicolas Wicker
+ PDF Chat Markov chain comparison 2006 Martin Dyer
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+ Approximately counting integral flows and cell-bounded contingency tables 2005 Mary Cryan
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