Partitioning macroscale and microscale ecological processes using covariate‐driven non‐stationary spatial models-Reference-Cited by-同舟云学术

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Partitioning macroscale and microscale ecological processes using covariate‐driven non‐stationary spatial models

Published:2021-11-21 Issue:1 Volume:32 Page:
ISSN:1051-0761
Container-title:Ecological Applications
language:en
Short-container-title:Ecological Applications

Author:

Narr Charlotte F.¹²^ORCID,Chernyavskiy Pavel³,Collins Sarah M.²^ORCID

Affiliation:

1. Southern Illinois University in Carbondale Carbondale Illinois 62901 USA

2. Department of Zoology and Physiology University of Wyoming Laramie Wyoming 82071 USA

3. Department of Public Health Sciences University of Virginia Charlottesville Virginia 22903 USA

Publisher

Wiley

Subject

Ecology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eap.2485

Reference67 articles.

1. A comparison of centring parameterisations of Gaussian process-based models for Bayesian computation using MCMC

2. Betancourt M.2017.A Conceptual Introduction to Hamiltonian Monte Carlo.https://arxiv.org/abs/1701.02434

3. A dynamic process convolution approach to modeling ambient particulate matter concentrations

4. Stan: A Probabilistic Programming Language

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