89 citations · 98 across the 3 of their papers we have counts for
3 papers
stat.CO2013★ 9 cited
Importance sampling for weighted binary random matrices with specified margins
Matthew T. Harrison, Jeffrey W. Miller
A sequential importance sampling algorithm is developed for the distribution that results when a matrix of independent, but not identically distributed, Bernoulli random variables…
math.ST2013★ 89 cited
A simple example of Dirichlet process mixture inconsistency for the number of components
Jeffrey W. Miller, Matthew T. Harrison
For data assumed to come from a finite mixture with an unknown number of components, it has become common to use Dirichlet process mixtures (DPMs) not only for density estimation,…
stat.CO2010
Conservative Hypothesis Tests and Confidence Intervals using Importance Sampling
Matthew T. Harrison
Importance sampling is a common technique for Monte Carlo approximation, including Monte Carlo approximation of p-values. Here it is shown that a simple correction of the usual imp…