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Found 2 papers, 1 papers with code
Context-specific kernel-based hidden Markov model for time series analysis
Traditional hidden Markov models have been a useful tool to understand and model stochastic dynamic data; in the case of non-Gaussian data, models such as mixture of Gaussian hidden Markov models can be used.
Autoregressive Asymmetric Linear Gaussian Hidden Markov Models
In a real life process evolving over time, the relationship between its relevant variables may change.
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