10 citations · 10 across the 3 of their papers we have counts for
3 papers
Bridging Theory and Practice in Efficient Gaussian Process-Based Statistical Modeling for Large Datasets
Flávio B. Gonçalves, Marcos O. Prates, Gareth O. Roberts
Geostatistics is a branch of statistics concerned with stochastic processes over continuous domains, with Gaussian processes (GPs) providing a flexible and principled modelling fra…
Stochastic Gradient Piecewise Deterministic Monte Carlo Samplers
Paul Fearnhead, Sebastiano Grazzi, Chris Nemeth +1
Recent work has suggested using Monte Carlo methods based on piecewise deterministic Markov processes (PDMPs) to sample from target distributions of interest. PDMPs are non-reversi…
MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster
S. L. Cotter, G. O. Roberts, A. M. Stuart +1
Many problems arising in applications result in the need to probe a probability distribution for functions. Examples include Bayesian nonparametric statistics and conditioned diffu…