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Bayesian Nonparametric Inference of Switching Dynamic Linear Models

Bayesian Nonparametric Inference of Switching Dynamic Linear Models

Many complex dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switching linear dynamical system (SLDS) and the switching vector autoregressive (VAR) process. Our Bayesian nonparametric approach utilizes a hierarchical Dirichlet process prior to …