Gradient-Based Markov Chain Monte Carlo for Bayesian Inference With Non-Differentiable Priors

Jacob Vorstrup Goldman, Torben Sell, Sumeetpal Sidhu Singh

The use of non-differentiable priors in Bayesian statistics has become increasingly popular, in particular in Bayesian imaging analysis. Current state of the art methods are approx…