The analysis of nonstationary time series under a Bayesian paradigm integrates prior knowledge with flexible probability models to capture evolving dynamics. Unlike stationary processes, whose ...
Bayesian additive modelling has emerged as a powerful framework for analysing datasets characterised by large numbers of predictors and complex response patterns. At its core, the methodology employs ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results