Semiparametric hidden Markov models: identifiability and estimation-Reference-Cited by-同舟云学术

Semiparametric hidden Markov models: identifiability and estimation

Published:2014-09-19 Issue:6 Volume:6 Page:418-425
ISSN:1939-5108
Container-title:WIREs Computational Statistics
language:en
Short-container-title:WIREs Comp Stat

Author:

Dannemann Jörn¹,Holzmann Hajo²,Leister Anna²

Affiliation:

1. Institut für Mathematische Stochastik Georg‐August‐Universität Göttingen Germany

2. Fakultät für Mathematik und Informatik Philipps‐Universität Marburg Germany

Funder

California Department of Fish and Game

Publisher

Wiley

Subject

Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/wics.1326

Reference54 articles.

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4. Hidden Markov models with state‐dependent mixtures: minimal representation, model testing and applications to clustering;Holzmann H;Stat Comput,2014

5. Hidden Markov Models for Time Series

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