Pierre VANDEKERKHOVE
- Fiche
- Publications
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VANDEKERKHOVE
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| Prénom: |
Pierre
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| Site: | UGE | |
| Bureau: | 4B 062 | |
| Téléphone: | +33 1 60 95 77 32 | |
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| Courriel: |
pierre.vandekerkhove@univ-eiffel.fr
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- Gold standard process Markovian poisoning: a semiparametric approach
- A statistical approach to unveil phytoplankton adaptation to ocean fronts
- Admix: An R Package for Estimation, Test and Clustering in Admixture Models
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Entropy-based burn in time analysis and ranking for (A)MCMC algorithms in high dimension
auteurPierre Vandekerkhove, Didier ChauveauSIAM/ASA Journal on Uncertainty Quantification 13 (2025) 251-277
- A statistical approach to unveil phytoplankton adaptation to ocean fronts
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Markov Kernels Local Aggregation for Noise Vanishing Distribution Sampling
auteurFlorian Maire, Pierre VandekerkhoveSIAM Journal on Mathematics of Data Science 4 (2022) 1293-1319
- Semiparametric two-sample admixture components comparison test: The symmetric case
- Entropy-based convergence analysis for (A)MCMC algorithms in high dimension
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Adaptive estimation in the supremum norm for semiparametric mixtures of regressions
auteurPierre Vandekerkhove, Hajo Holzmann, Heiko WernerElectronic Journal of Statistics 14 (2020)
- Semiparametric density testing in the contamination model
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Semiparametric density testing in the contamination model
auteurDenys Pommeret, Pierre VandekerkhoveElectronic Journal of Statistics 13 (2019)
- The Nearest Neighbor entropy estimate: an adequate tool for adaptive MCMC evaluation
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Semiparametric estimation of a two-component mixture of linear regressions in which one component is known
auteurLaurent Bordes, Ivan Kojadinovic, Pierre VandekerkhoveElectronic Journal of Statistics 7 (2013) 2603-2644
- Semiparametric topographical mixture models with symmetric errors
- Simulation Based Nearest Neighbor Entropy Estimation for (Adaptive) MCMC Evaluation
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The Logarithmic Sobolev Constant of The Lamplighter
auteurEvgeny Abakumov, Anne Beaulieu, François Blanchard, Matthieu Fradelizi, Nathaël Gozlan, Bernard Host, Thiery Jeantheau, Magdalena Kobylanski, Guillaume Lecué, Miguel Martinez, Mathieu Meyer, Marie-Hélène Mourgues, Frédéric Portal, Francis Ribaud, Cyril Roberto, Pascal Romon, Julien Roth, Paul-Marie Samson, Pierre Vandekerkhove, Abdellah Youssfi
- Bootstrap non-nested mixture model selection - Application to extreme value modeling in metal fatigue problems
- A central limit theorem for adaptive and interacting Markov chains
- A simple variance inequality for U-statistics of a Markov chain with applications
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Smoothness of Metropolis-Hastings algorithm and application to entropy estimation
auteurDidier Chauveau, Pierre VandekerkhoveESAIM: Probability and Statistics (2012) 10.1051/ps/2012004
- Estimation of a semiparametric mixture of regressions model.
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On ergodic two-armed bandits
auteurPierre Tarrès, Pierre VandekerkhoveThe Annals of Applied Probability 22 (2012) 457-476
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Semiparametric mixtures of symmetric distributions
auteurCristina Butucea, Pierre Vandekerkhove(2011)
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Moment estimation method for a two-component mixture regression model when a component is known
auteurLaurent Bordes, Ivan Kojadinovic, Pierre Vandekerkhove(2011)
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Semiparametric estimation of a twocomponents mixture of regression models
auteurLaurent Bordes, Ivan Kojadinovic, Pierre Vandekerkhove(2011)
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Semiparametric two-component mixture model when a component is known: an asymptotically normal estimator
auteurLaurent Bordes, Pierre VandekerkhoveMathematical Methods of Statistics 19 (2010) 22--41
- SEMIPARAMETRIC TWO-COMPONENT MIXTURE MODEL WITH A KNOWN COMPONENT: A CLASS OF ASYMPTOTICALLY NORMAL ESTIMATORS
- A Stochastic EM algorithm for a semiparametric mixture model
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A Monte Carlo estimation of the entropy for Markov chains
auteurDidier Chauveau, Pierre VandekerkhoveMethodology and Computing in Applied Probability 9 (2007) 133-149
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Consistent and asymptotically normal parameter estimates for hidden Markov mixtures of Markov models
auteurPierre VandekerkhoveBernoulli 11 (2005) 103--129