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03/16/2021
Gradient-Based Markov Chain Monte Carlo for Bayesian Inference With Non-Differentiable Priors
The use of non-differentiable priors in Bayesian statistics has become i...
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01/08/2021
Spatiotemporal blocking of the bouncy particle sampler for efficient inference in state space models
We propose a novel blocked version of the continuous-time bouncy particl...
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12/10/2019
