Identifying regions of inhomogeneities in spatial processes via an M‐RA and mixture priors-Reference-Cited by-同舟云学术

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Identifying regions of inhomogeneities in spatial processes via an M‐RA and mixture priors

Published:2021-03-05 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Benedetti Marco H.¹,Berrocal Veronica J.²^ORCID,Narisetty Naveen N.³^ORCID

Affiliation:

1. Center for Injury Research and Policy Nationwide Children's Hospital Columbus Ohio

2. Department of Statistics University of California Irvine California

3. Department of Statistics University of Illinois at Urbana‐Champaign Urbana‐Champaign Illinois

Funder

National Institute of Environmental Health Sciences

Division of Mathematical Sciences

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13446

Reference32 articles.

1. A test for stationarity for irregularly spaced spatial data

2. Gaussian predictive process models for large spatial data sets

3. Optimal predictive model selection

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1. Risk assessment of river water quality using long-memory processes subject to divergence or Wasserstein uncertainty;Stochastic Environmental Research and Risk Assessment;2024-05-18

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