Dynamic Population Models with Temporal Preferential Sampling to Infer Phenology-Reference-Cited by-同舟云学术

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Dynamic Population Models with Temporal Preferential Sampling to Infer Phenology

Published:2023-06-10 Issue:4 Volume:28 Page:774-791
ISSN:1085-7117
Container-title:Journal of Agricultural, Biological and Environmental Statistics
language:en
Short-container-title:JABES

Author:

Schwob Michael R.^ORCID,Hooten Mevin B.,McDevitt-Galles Travis

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Environmental Science,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s13253-023-00552-3.pdf

Reference47 articles.

1. Albert JH, Chib S (1993) Bayesian analysis of binary and polychotomous response data. J Am Stat Assoc 88(422):669–679

2. Aukema BH, Carroll AL, Zheng Y, Zhu J, Raffa KF, Dan Moore R, Stahl K, Taylor SW (2008) Movement of outbreak populations of mountain pine beetle: influences of spatiotemporal patterns and climate. Ecography 31(3):348–358

3. Bewick S, Cantrell RS, Cosner C, Fagan WF (2016) How resource phenology affects consumer population dynamics. Am Nat 187(2):151–166

4. Bezanson J, Edelman A, Karpinski S, Shah VB (2017) Julia: a fresh approach to numerical computing. SIAM Rev 59(1):65–98

5. Bradley JR, Holan SH, Wikle CK (2018) Computationally efficient multivariate spatio-temporal models for high-dimensional count-valued data (with discussion). Bayesian Anal 13(1):253–310

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