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 analysis offers a robust framework for deciphering the intricate dynamics of time series data. By treating unknown parameters as random variables, this approach incorporates prior information ...
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