Continuous testing for Poisson process intensities: a new perspective on scanning statistics

Author:

Picard Franck1,Reynaud-Bouret Patricia2,Roquain Etienne3

Affiliation:

1. Centre National de la Recherche Scientifique, Laboratoire de Biométrie et Biologie Evolutive, 43 Boulevard du 11 Novembre 1918, Villeurbanne, France

2. Centre National de la Recherche Scientifique, Laboratoire Jean Alexandre Dieudonné, Parc Valrose, Nice, France

3. Sorbonne Université, Laboratoire de Probabilités, Statistique et Modélisation, 4 Place Jussieu, Paris, France

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Mathematics,Statistics and Probability

Reference35 articles.

1. Bootstrap and permutation tests of independence for point processes.;Albert;Ann. Statist.,2015

2. Distribution-free detection of structured anomalies: Permutation and rank-based scans.;Arias-Castro;J. Am. Statist. Assoc.,2018

3. Controlling the false discovery rate: A practical and powerful approach to multiple testing;Benjamini;J. R. Statist. Soc.,1995

4. Multiple hypotheses testing with weights.;Benjamini;Scand. J. Statist.,1997

5. The control of the false discovery rate in multiple testing under dependency.;Benjamini;Ann. Statist.,2001

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1. A scan procedure for multiple testing: Beyond threshold-type procedures;Journal of Statistical Planning and Inference;2021-01

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