Proximal Markov chain Monte Carlo is a novel construct that lies at the intersection of Bayesian computation and convex optimization, which helped popularize use nondifferentiable priors in statistics. Existing formulations proximal MCMC, however, require hyperparameters regularization parameters to be prespecified. In this article, we extend paradigm MCMC through introducing new class called e...
