Maël Chiapino

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All published works

Action	Title	Year	Authors
+ PDF Chat	A multivariate extreme value theory approach to anomaly clustering and visualization	2019	Maël Chiapino Stéphan Clémençon Vincent Feuillard Anne Sabourin
+ PDF Chat	Identifying groups of variables with the potential of being large simultaneously	2019	Maël Chiapino Anne Sabourin Johan Segers
+	Identifying groups of variables with the potential of being large simultaneously	2018	Maël Chiapino Anne Sabourin Johan Segers
+	Identifying groups of variables with the potential of being large simultaneously	2018	Maël Chiapino Anne Sabourin Johan Segers
+	One Class Splitting Criteria for Random Forests	2016	Nicolas Goix Nicolas Drougard Romain Brault Maël Chiapino

Common Coauthors

Coauthor	Papers Together
Anne Sabourin	4
Johan Segers	3
Nicolas Drougard	1
Vincent Feuillard	1
Stéphan Clémençon	1
Romain Brault	1
Nicolas Goix	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking	2016	Nicolas Goix Anne Sabourin Stéphan Clémençon	2
+	Multiplier bootstrap of tail copulas with applications	2013	Axel Bücher Holger Dette	1
+ PDF Chat	Aircraft anomaly detection using performance models trained on fleet data	2012	Dimitry Gorinevsky Bryan Matthews Rodney Martin	1
+	Weak Convergence and Empirical Processes	1996	Aad van der Vaart Jon A. Wellner	1
+ PDF Chat	A Mixture Model for Multivariate Extremes	2007	Marc‐Olivier Boldi A. C. Davison	1
+ PDF Chat	Dimension reduction in multivariate extreme value analysis	2015	Emilie Chautru	1
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	1
+ PDF Chat	Bayesian Dirichlet mixture model for multivariate extremes: A re-parametrization	2013	Anne Sabourin Philippe Naveau	1
+ PDF Chat	Nonparametric Bayesian Data Analysis	2004	Peter Müller Fernando A. Quintana	1
+	Novelty Detection with Multivariate Extreme Value Statistics	2010	David A. Clifton Samuel Hugueny Lionel Tarassenko	1
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	1
+	Reversible jump Markov chain Monte Carlo computation and Bayesian model determination	1995	Peter J. Green	1
+	Empirical Processes with Applications to Statistics	2009	Galen R. Shorack Jon A. Wellner	1
+	Poisson and Gaussian approximation of weighted local empirical processes	1997	J.H.J. Einmahl	1
+	A New Class of Models for Bivariate Joint Tails	2008	Alexandra Ramos Anthony Ledford	1
+	Building a Framework for Predictive Science	2012	Michael McKerns Leif Strand Tim Sullivan Alta Fang M. Aivazis	1
+	On Smooth Statistical Tail Functionals	1998	Holger Drees	1
+ PDF Chat	A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering	2013	Florence Forbes Darren Wraith	1
+	Consistency of random forests	2015	Erwan Scornet Gérard Biau Jean‐Philippe Vert	1
+	Isolation Forest	2008	Fei Tony Liu Kai Ming Ting Zhi‐Hua Zhou	1
+	Statistical inference on random dot product graphs: a survey	2017	Avanti Athreya Donniell E. Fishkind Keith Levin Vince Lyzinski Youngser Park Yichen Qin Daniel L. Sussman Minh Tang Joshua T Vogelstein Carey E. Priebe	1
+	Identifying groups of variables with the potential of being large simultaneously	2018	Maël Chiapino Anne Sabourin Johan Segers	1
+	Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking.	2016	Nicolas Goix Anne Sabourin Stéphan Clémençon	1
+	Determining the Dependence Structure of Multivariate Extremes	2018	Emma S. Simpson Jennifer L. Wadsworth Jonathan A. Tawn	1
+	Multiple Scaled Contaminated Normal Distribution and Its Application in Clustering	2018	Antonio Punzo Cristina Tortora	1
+	An M-estimator for tail dependence in arbitrary dimensions	2012	J.H.J. Einmahl Andrea Krajina Johan Segers	1
+ PDF Chat	Identifying groups of variables with the potential of being large simultaneously	2019	Maël Chiapino Anne Sabourin Johan Segers	1
+ PDF Chat	Multiple scaled contaminated normal distribution and its application in clustering	2019	Antonio Punzo Cristina Tortora	1
+	Reversible Jump Markov Chain Monte Carlo Computation and Bayesian Model Determination	1995	Peter J. Green	1
+ PDF Chat	Measuring and modelling multivariate and spatial dependence of extremes	2013	Jean-Noël Bacro Gwladys Toulemonde	1
+ PDF Chat	An Introduction to Statistical Modeling of Extreme Values	2002		1