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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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