Time-partitioning Gaussian Process Mixture Model
We propose the Time-partitioning Gaussian Process Mixture Model (TPGPMM), a Bayesian nonparametric framework for identifying persistent regimes and modelling nonstationary dependence in time series.
By Guilherme Piantino, Hedibert F. LopesarXiv - stat.ML
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Originally published by arXiv - stat.ML on Oct 16, 2026.
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