3.1k citations · 3.8k across the 32 of their papers we have counts for
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Ensuring Reliable Monte Carlo Estimates of Network Properties
Haema Nilakanta, Zack W. Almquist, Galin L. Jones
The literature in social network analysis has largely focused on methods and models which require complete network data; however there exist many networks which can only be studied…
Analyzing MCMC Output
Dootika Vats, Nathan Robertson, James M Flegal +1
Markov chain Monte Carlo (MCMC) is a sampling-based method for estimating features of probability distributions. MCMC methods produce a serially correlated, yet representative, sam…
Convergence Analysis of a Collapsed Gibbs Sampler for Bayesian Vector Autoregressions
Karl Oskar Ekvall, Galin L. Jones
We study the convergence properties of a collapsed Gibbs sampler for Bayesian vector autoregressions with predictors, or exogenous variables. The Markov chain generated by our algo…
Assessing and Visualizing Simultaneous Simulation Error
Nathan Robertson, James M. Flegal, Dootika Vats +1
Monte Carlo experiments produce samples in order to estimate features of a given distribution. However, simultaneous estimation of means and quantiles has received little attention…