Hidden Markov models: Pitfalls and opportunities in ecology-Reference-Cited by-同舟云学术

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Hidden Markov models: Pitfalls and opportunities in ecology

Published:2022-02-05 Issue:1 Volume:14 Page:43-56
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Glennie Richard¹^ORCID,Adam Timo¹,Leos‐Barajas Vianey²^ORCID,Michelot Théo¹^ORCID,Photopoulou Theoni¹^ORCID,McClintock Brett T.³^ORCID

Affiliation:

1. Centre for Research into Ecological and Environmental Modelling University of St Andrews St Andrews UK

2. Department of Statistical Sciences University of Toronto Toronto ON Canada

3. Marine Mammal Laboratory NOAA‐NMFS Alaska Fisheries Science Center Seattle WA USA

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13801

Reference76 articles.

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

2. Mixed Hidden Markov Models

3. State-Space Analysis of Wildlife Telemetry Data

4. Diving deeper into the underlying white shark behaviors at Guadalupe Island, Mexico

5. A guide to state–space modeling of ecological time series

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2. Analyzing the dynamics of deforestation in the world: applying Markov models to identify convergence trends;GeoJournal;2024-08-24

3. Tracking and modeling the movement of Queensland fruit flies, Bactrocera tryoni, using harmonic radar in papaya fields;Scientific Reports;2024-07-30

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