Bayesian inference for high-dimensional nonstationary Gaussian processes: Neyman seminar

Neyman Seminar
Sep 30, 2020 4:00pm to 5:00pm
Zoom id: 97648161149. No passcode. Evans Hall
Happening As Scheduled
Abstract: In spite of the diverse literature on nonstationary spatial modelling and approximate Gaussian process (GP) methods, there are no general approaches for conducting fully Bayesian inference for moderately sized nonstationary spatial data sets on a personal laptop. For statisticians and data scientists who wish to conduct posterior inference and prediction with appropriate uncertainty...
Mark Risser, Lawrence Berkeley National Laboratory