Math @ Duke
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Publications [#38507] of Mark Huber
Papers Published
- 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.
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