96 citations · 270 across the 30 of their papers we have counts for
4 papers · 1 filter
Understanding Linchpin Variables in Markov Chain Monte Carlo
Dootika Vats, Felipe Acosta, Mark L. Huber +1
An introduction to the use of linchpin variables in Markov chain Monte Carlo (MCMC) is provided. Before the widespread adoption of MCMC methods, conditional sampling using linchpin…
Robust estimation of the mean with bounded relative standard deviation
Mark Huber
Many randomized approximation algorithms operate by giving a procedure for simulating a random variable which has mean equal to the target answer, and a relative standard d…
An optimal -approximation scheme for the mean of random variables with bounded relative variance
Mark Huber
Randomized approximation algorithms for many #P-complete problems (such as the partition function of a Gibbs distribution, the volume of a convex body, the permanent of a …
An estimator for Poisson means whose relative error distribution is known
Mark Huber
Suppose that are a stream of independent, identically distributed Poisson random variables with mean . This work presents a new estimate for with the…