Sampling contingency tables

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چکیده

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Sampling contingency tables

Given positive integers r1; r2; : : : rm and c1; c2; : : : cn, let I(r; c) be the set ofm n arrays with nonnegative integer entries and row sums r1; r2; : : : rm respectively and column sums c1; c2; : : : cn respectively. Elements of I(r; c) are called contingency tables with these row and column sums. We consider two related problems on contingency tables. Given r1; r2; : : : rm and c1; c2; : ...

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Efficient Importance Sampling for Binary Contingency Tables

Importance sampling has been reported to produce algorithms with excellent empirical performance in counting problems. However, the theoretical support for its efficiency in these applications has been very limited. In this paper, we propose a methodology that can be used to design efficient importance sampling algorithms for counting and test their efficiency rigorously. We apply our technique...

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Improved Bounds for Sampling Contingency Tables

We study the problem of sampling contingency tables (nonnegative integer matrices with specified row and column sums) uniformly at random. We give an algorithm which runs in polynomial time provided that the row sums ri and the column sums cj satisfy ri (n 3/ m log m), and cj (m 3/ n log n). This algorithm is based on a reduction to continuous sampling from a convex set. The same approach was t...

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Lattice Points, Contingency Tables, and Sampling

Markov chains and sequential importance sampling (SIS) are described as two leading sampling methods for Monte Carlo computations in exact conditional inference on discrete data in contingency tables. Examples are explained from genotype data analysis, graphical models, and logistic regression. A new Markov chain and implementation of SIS are described for logistic regression.

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Polynomial-time counting and sampling of two-rowed contingency tables

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ژورنال

عنوان ژورنال: AKCE International Journal of Graphs and Combinatorics

سال: 2018

ISSN: 0972-8600,2543-3474

DOI: 10.1016/j.akcej.2017.10.001