Spatiotemporal Besov Priors for Bayesian Inverse Problems

arXiv:2306.16378v2 Announce Type: replace-cross
Abstract: Fast development in science and technology has driven the need for proper statistical tools to capture special data features such as abrupt changes or sharp contrast. Many inverse problems in data science require spatiotemporal solutions derived from a sequence of time-dependent objects with these spatial features, e.g., dynamic reconstruction of computerized tomography (CT) images with edges. Conventional methods based on Gaussian processes (GP) often fall short in providing satisfactory solutions since they tend to offer …

abstract arxiv bayesian contrast data data features data science development dynamic features objects science science and technology solutions spatial statistical stat.me stat.ml technology tools type