70 citations · 261 across the 11 of their papers we have counts for
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stat.ML2019★ 2 cited
Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler
Tingting Zhao, Alexandre Bouchard-Côté
Sampling the parameters of high-dimensional Continuous Time Markov Chains (CTMC) is a challenging problem with important applications in many fields of applied statistics. In this…
stat.ML2019★ 3 cited
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté +2
Bayesian inference via standard Markov Chain Monte Carlo (MCMC) methods is too computationally intensive to handle large datasets, since the cost per step usually scales like $Θ(n)…