Publications [#38507] of Mark Huber

Papers Published

1. Yuguo Chen, Ian Dinwoodie, Adrian Dobra, and Mark Huber, Lattice Point, contingency tables and sampling, Contemporary Mathematics, vol. 374 (2005), pp. 65--78, American Mathematical Society
   (last updated on 2005/06/15)

   Abstract:
   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.