A hierarchical Bayesian approach for handling missing classification data-Reference-Cited by-同舟云学术

A hierarchical Bayesian approach for handling missing classification data

Published:2019-03 Issue:6 Volume:9 Page:3130-3140
ISSN:2045-7758
Container-title:Ecology and Evolution
language:en
Short-container-title:Ecol Evol

Author:

Ketz Alison C.¹^ORCID,Johnson Therese L.²,Hooten Mevin B.³⁴⁵,Hobbs N. Thompson¹

Affiliation:

1. Natural Resource Ecology Lab Department of Ecosystem Science and Sustainability, and Graduate Degree Program in Ecology Colorado State University Fort Collins Colorado

2. National Park Service Rocky Mountain National Park Estes Park Colorado

3. U.S. Geological Survey Colorado Cooperative Fish and Wildlife Research Unit Colorado State University Fort Collins Colorado

4. Department of Fish, Wildlife and Conservation Biology Colorado State University Fort Collins Colorado

5. Department of Statistics Colorado State University Fort Collins Colorado

Funder

National Science Foundation

National Park Service

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.4927

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1. Categorical Data Analysis

2. Bayesian inference for categorical data analysis

3. Social Behavior of Elk, Cervus Canadensis Nelsoni, in the Jackson Hole Area of Wyoming

4. Bridging the gap between ecology and evolution: integrating density regulation and life-history evolution

5. Uses of Herd Composition and Age Ratios in Ungulate Management

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