Spatially Dependent Multiple Testing Under Model Misspecification, With Application to Detection of Anthropogenic Influence on Extreme Climate Events-Reference-Cited by-同舟云学术

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Spatially Dependent Multiple Testing Under Model Misspecification, With Application to Detection of Anthropogenic Influence on Extreme Climate Events

Published:2018-07-11 Issue:525 Volume:114 Page:61-78
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Risser Mark D.¹,Paciorek Christopher J.²,Stone Dáithí A.³

Affiliation:

1. Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA

2. Department of Statistics, University of California, Berkeley, Berkeley, CA

3. Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2018.1451335

Reference68 articles.

1. Liability for climate change

2. Comparing regional precipitation and temperature extremes in climate model and reanalysis products

3. An Independent Assessment of Anthropogenic Attribution Statements for Recent Extreme Temperature and Rainfall Events

4. Attribution of extreme weather to anthropogenic greenhouse gas emissions: Sensitivity to spatial and temporal scales

5. The centred parametrization for the multivariate skew-normal distribution

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