Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models-Reference-Cited by-同舟云学术

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Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models

Published:2024-06-07 Issue: Volume: Page:1-17
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Sidrow Evan¹^ORCID,Heckman Nancy¹,Bouchard-Côté Alexandre¹,Fortune Sarah M. E.²,Trites Andrew W.³,Auger-Méthé Marie⁴^ORCID

Affiliation:

1. Department of Statistics, University of British Columbia, Vancouver, Canada

2. Department of Oceanography, Dalhousie University, Halifax, Canada

3. Department of Zoology, Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, Canada

4. Department of Statistics, Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Fisheries and Oceans Canada

NSERC Discovery

Canada Foundation for Innovation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2024.2350476

Reference58 articles.

1. Joint modelling of multi‐scale animal movement data using hierarchical hidden Markov models

2. “Second-order Stochastic Optimization for Machine Learning in Linear Time,”;Agarwal N.;The Journal of Machine Learning Research,,2017

3. Smooth On-Line Learning Algorithms for Hidden Markov Models

4. A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains

5. Identifying volcanic regimes using Hidden Markov Models

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