In this manuscript we introduce Group Spike-and-slab Variational Bayes
(...
We establish a general Bernstein–von Mises theorem for approximately lin...
We consider nonparametric Bayesian inference in a multidimensional diffu...
Material Flow Analysis (MFA) is used to quantify and understand the life...
We rigorously prove that deep Gaussian process priors can outperform Gau...
We propose a variational Bayesian proportional hazards model for predict...
We study nonparametric Bayesian modelling of reversible multi-dimensiona...
Variational Bayes (VB) is a popular scalable alternative to Markov chain...
We establish that Laplace transforms of the posterior Dirichlet process
...
Bayesian approaches have become increasingly popular in causal inference...
We study a mean-field variational Bayes (VB) approximation to Bayesian m...
The problem of determining a periodic Lipschitz vector field b=(b_1, ......
We develop a semiparametric Bayesian approach for estimating the mean
re...
It is well-known that density estimation on the unit interval is
asympto...