113 citations · 294 across the 25 of their papers we have counts for
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math.ST2016★ 5 cited
Quantifying the accuracy of approximate diffusions and Markov chains
Jonathan H. Huggins, James Zou
Markov chains and diffusion processes are indispensable tools in machine learning and statistics that are used for inference, sampling, and modeling. With the growth of large-scale…
math.ST2016★ 17 cited
Truncated Random Measures
Trevor Campbell, Jonathan H. Huggins, Jonathan P. How +1
Completely random measures (CRMs) and their normalizations are a rich source of Bayesian nonparametric priors. Examples include the beta, gamma, and Dirichlet processes. In this pa…