2 papers
stat.CO2026
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…
stat.ML2024
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…