71 citations · 75 across the 3 of their papers we have counts for
3 papers
stat.ME2020★ 1 cited
A Note on Using Discretized Simulated Data to Estimate Implicit Likelihoods in Bayesian Analyses
M. S. Hamada, T. L. Graves, N. W. Hengartner +9
This article presents a Bayesian inferential method where the likelihood for a model is unknown but where data can easily be simulated from the model. We discretize simulated (cont…
stat.CO2011★ 3 cited
Automatic Step Size Selection in Random Walk Metropolis Algorithms
Todd L. Graves
Practitioners of Markov chain Monte Carlo (MCMC) may hesitate to use random walk Metropolis-Hastings algorithms, especially variable-at-a-time algorithms with many parameters, beca…
stat.ME2007★ 71 cited
Advances in Data Combination, Analysis and Collection for System Reliability Assessment
Alyson G. Wilson, Todd L. Graves, Michael S. Hamada +1
The systems that statisticians are asked to assess, such as nuclear weapons, infrastructure networks, supercomputer codes and munitions, have become increasingly complex. It is oft…