AG
Armelle Guillou
math.STstat.THstat.MEData Interpretation, StatisticalDisease Outbreaksextreme value theoryoutbreak detectionreturn levelreturn periodSalmonella
On Valency
published · living versionsW_vfy3v878·v1 · currentpublished
Statistics of extremes under random censoring
with John H. J. Einmahl, Amélie Fils-Villetard
1 version
Preprints & journals
7 papers in the corpus · 2008–2017Risk measure estimation for -mixing time series and applications1708.04950v2 · Val'erie Chavez-Demoulin, Armelle Guillou2017 · 0 citationsarXiv
An extreme value theory approach for the early detection of time clusters. A simulation-based assessment and an illustration to the surveillance of Salmonella.25060768 · Guillou, A, Kratz, M, Le Strat, Y2015 · 22 citationsStatistics in medicine. 2014;33(28):5015-27
Uniform strong consistency of a frontier estimator using kernel regression on high order moments1212.3111v2 · Stephane Girard, Armelle Guillou (IRMA), Gilles Stupfler (CERGAM)2012 · 8 citationsarXiv
Bias-reduced estimators of the Weibull tail-coefficient1103.6172v1 · J. Diebolt, L. Gardes, S. Girard et al.2011 · 35 citationsTest, 17, 311-331, 2008
Bias-reduced extreme quantiles estimators of Weibull-tail distributions1103.6204v1 · Jean Diebolt, Laurent Gardes, St'ephane Girard et al.2011 · 0 citationsarXiv
An Extreme Value Theory approach for the early detection of time clusters with application to the surveillance of Salmonella1003.4466v1 · Armelle Guillou, Marie Kratz, Yann Le Strat2010 · 2 citationsarXiv
Statistics of extremes under random censoring0803.2162v1 · John H.J. Einmahl, Am'elie Fils-Villetard, Armelle Guillou2008 · 84 citationsBernoulli 2008, Vol. 14, No. 1, 207-227on Valency
Career total: 179 works. 7 are in this corpus.
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