Johan Segers

According to our database, Johan Segers authored at least 23 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates.

Rémi Leluc, Aymeric Dieuleveut, François Portier, Johan Segers, Aigerim Zhuman

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence.

Rémi Leluc, François Portier, Johan Segers, Aigerim Zhuman

CoRR, 2023

2022

Measuring dependence between random vectors via optimal transport.

Gilles Mordant, Johan Segers

J. Multivar. Anal., 2022

A Quadrature Rule combining Control Variates and Adaptive Importance Sampling.

Rémi Leluc, François Portier, Johan Segers, Aigerim Zhuman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Control variate selection for Monte Carlo integration.

Rémi Leluc, François Portier, Johan Segers

Stat. Comput., 2021

2020

Risk bounds when learning infinitely many response functions by ordinary linear regression.

Vincent Plassier, François Portier, Johan Segers

CoRR, 2020

2019

Peaks Over Thresholds Modeling With Multivariate Generalized Pareto Distributions.

Anna Kiriliouk, Holger Rootzén, Johan Segers, Jennifer L. Wadsworth

Technometrics, 2019

Monte Carlo integration with a growing number of control variates.

François Portier, Johan Segers

J. Appl. Probab., 2019

2018

Multivariate generalized Pareto distributions: Parametrizations, representations, and properties.

Holger Rootzén, Johan Segers, Jennifer L. Wadsworth

J. Multivar. Anal., 2018

On the weak convergence of the empirical conditional copula under a simplifying assumption.

François Portier, Johan Segers

J. Multivar. Anal., 2018

Weak convergence of the weighted empirical beta copula process.

Betina Berghaus, Johan Segers

J. Multivar. Anal., 2018

Bayesian inference for bivariate ranks.

Simon Guillotte, François Perron, Johan Segers

CoRR, 2018

Gradient importance sampling: An efficient statistical extraction methodology of high-sigma SRAM dynamic characteristics.

Thomas Haine, Johan Segers, Denis Flandre, David Bol

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017

The empirical beta copula.

Johan Segers, Masaaki Sibuya, Hideatsu Tsukahara

J. Multivar. Anal., 2017

Marginal standardization of upper semicontinuous processes. With application to max-stable processes.

Anne Sabourin, Johan Segers

J. Appl. Probab., 2017

2015

Nonparametric estimation of pair-copula constructions with the empirical pair-copula.

Ingrid Hobæk Haff, Johan Segers

Comput. Stat. Data Anal., 2015

2014

Measuring association and dependence between random vectors.

Oliver Grothe, Julius Schnieders, Johan Segers

J. Multivar. Anal., 2014

Detecting changes in cross-sectional dependence in multivariate time series.

Axel Bücher, Ivan Kojadinovic, Tom Rohmer, Johan Segers

J. Multivar. Anal., 2014

Markov Tail Chains.

Anja Janßen, Johan Segers

J. Appl. Probab., 2014

Nonparametric estimation of the tree structure of a nested Archimedean copula.

Johan Segers, Nathan Uyttendaele

Comput. Stat. Data Anal., 2014

2011

Nonparametric estimation of an extreme-value copula in arbitrary dimensions.

Gordon Gudendorf, Johan Segers

J. Multivar. Anal., 2011

2010

On the covariance of the asymptotic empirical copula process.

Christian Genest, Johan Segers

J. Multivar. Anal., 2010

2009

Tails of multivariate Archimedean copulas.

Arthur Charpentier, Johan Segers

J. Multivar. Anal., 2009