Time-partitioning Gaussian Process Mixture Model
The Time-partitioning Gaussian Process Mixture Model (TPGPMM), a Bayesian nonparametric framework for regime identification and nonstationary prediction that infers such regimes and their within-regime dependence from data, without Markovian assumptions is proposed.
Guilherme Piantino, H. Lopes
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