LAWS: A Locally Adaptive Weighting and Screening Approach to Spatial Multiple Testing-Reference-Cited by-同舟云学术

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LAWS: A Locally Adaptive Weighting and Screening Approach to Spatial Multiple Testing

Published:2021-01-28 Issue: Volume: Page:1-14
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Cai T. Tony¹,Sun Wenguang²,Xia Yin³

Affiliation:

1. Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, PA;

2. Department of Data Sciences and Operations, University of Southern California, Los Angeles, CA;

3. Department of Statistics, School of Management, Fudan University, Shanghai, China

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2020.1859379

Reference49 articles.

1. The p -filter: multilayer false discovery rate control for grouped hypotheses

2. Weighted False Discovery Rate Control in Large-Scale Multiple Testing

3. Selective inference on multiple families of hypotheses

4. False Discovery Rates for Spatial Signals

5. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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2. Directional false discovery rate control in large-scale multiple comparisons;Journal of Applied Statistics;2024-05-25

3. Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis;Nature Genetics;2024-03-21

4. Dynamic Defect Detection in Fast, Robust NDE Methods by Transfer Learning Based Optimally Binned Hypothesis Tests;Research in Nondestructive Evaluation;2024-02-28

5. Integrative conformal p-values for out-of-distribution testing with labelled outliers;Journal of the Royal Statistical Society Series B: Statistical Methodology;2024-01-10

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