JSM 2015 Preliminary Program

Online Program Home
My Program

Abstract Details

Activity Number: 613
Type: Contributed
Date/Time: Wednesday, August 12, 2015 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract #316234
Title: Sampling for Conditional Inference on Contingency Tables
Author(s): Robert Eisinger*
Companies:
Keywords:
Abstract:

We propose new sequential importance sampling methods for sampling contingency tables with given margins. The proposal for each method is based on asymptotic approximations to the number of tables with fixed margins. These methods generate tables that are very close to the uniform distribution. The tables, along with their importance weights, can be used to approximate the null distribution of test statistics and calculate the total number of tables. We study the asymptotic behavior of the algorithm and show that the importance weight is bounded as the table size and sum grow to infinity. This result implies that the method works well even for large sparse tables. We apply the methods to a number of examples and demonstrate an improvement over other methods in a variety of real problems.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2015 program





For program information, contact the JSM Registration Department or phone (888) 231-3473.

For Professional Development information, contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

2015 JSM Online Program Home