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Statistical Inference for Markov and Hidden Markov Models

17 Dec 2013 13:01

I am concerned here with inferring the parameters and/or the structure of the model, not with the estimation of the hidden state in a hidden Markov model with known parameters; that problem falls under filtering.

Parameter inference (what machine learning types would call "learning") given a known, fixed structure. Determining the structure ("discovery"). Order estimation as a particular case of discovery, and of model selection. (Discovery may need its own notebook soon.)

Markov models naturally form exponential families; what classes of partially-observable Markov processes also do?

See also: Markov models; Mixture Models; Statistics; Time Series; Universal Prediction Algorithms


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