An illustration of model agnostic explainability methods applied to environmental data-Reference-Cited by-同舟云学术

An illustration of model agnostic explainability methods applied to environmental data

Published:2022-10-25 Issue:1 Volume:34 Page:
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Wikle Christopher K.¹^ORCID,Datta Abhirup²,Hari Bhava Vyasa³,Boone Edward L.⁴^ORCID,Sahoo Indranil⁴^ORCID,Kavila Indulekha⁵^ORCID,Castruccio Stefano⁶^ORCID,Simmons Susan J.⁷,Burr Wesley S.⁸^ORCID,Chang Won⁹^ORCID

Affiliation:

1. Department of Statistics University of Missouri Columbia Missouri USA

2. Department of Biostatistics Johns Hopkins University Baltimore Maryland USA

3. Wipro Limited Bengaluru India

4. Department of Statistical Sciences and Operations Research Virginia Commonwealth University Richmond Virginia USA

5. School of Pure and Applied Physics Mahatma Gandhi University Athirampuzha Kerala India

6. Department of Applied and Computational Mathematics and Statistics University of Notre Dame Notre Dame Indiana USA

7. Institute for Advanced Analytics North Carolina State University Raleigh North Carolina USA

8. Department of Mathematics Trent University Peterborough Ontario Canada

9. Department of Mathematical Sciences University of Cincinnati Cincinnati Ohio USA

Funder

National Institute of Environmental Health Sciences

National Science Foundation of Sri Lanka

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Ecological Modeling,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2772

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