Modelling multi‐scale, state‐switching functional data with hidden Markov models-Reference-Cited by-同舟云学术

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Modelling multi‐scale, state‐switching functional data with hidden Markov models

Published:2021-12-06 Issue: Volume: Page:
ISSN:0319-5724
Container-title:Canadian Journal of Statistics
language:en
Short-container-title:Can J Statistics

Author:

Sidrow Evan¹^ORCID,Heckman Nancy¹,Fortune Sarah M. E.²,Trites Andrew W.³⁴,Murphy Ian⁵,Auger‐Méthé Marie¹⁴

Affiliation:

1. Department of Statistics University of British Columbia Vancouver V6T 1Z4 British Columbia Canada

2. Marine Mammal Research Unit University of British Columbia Vancouver V6T 1Z4 British Columbia Canada

3. Department of Zoology University of British Columbia Vancouver V6T 1Z4 British Columbia Canada

4. Institute for the Oceans and Fisheries University of British Columbia Vancouver V6T 1Z4 British Columbia Canada

5. Department of Biostatistics University of Florida Gainesville 32611 FL U.S.A

Funder

Natural Sciences and Engineering Research Council of Canada

Fisheries and Oceans Canada

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjs.11673

Reference65 articles.

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

2. On the Prediction of Stationary Functional Time Series

3. Identifying volcanic regimes using Hidden Markov Models

4. Using Hidden Markov Models to Deal with Availability Bias on Line Transect Surveys

5. Biologging Special Feature

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