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Poster communications

Sequential Quasi Monte Carlo for Dirichlet Process Mixture Models

Julyan Arbel 1 Jean-Bernard Salomond 2
1 MISTIS - Modelling and Inference of Complex and Structured Stochastic Systems
Inria Grenoble - Rhône-Alpes, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, LJK - Laboratoire Jean Kuntzmann
2 LAMA - Laboratoire d'Analyse et de Mathématiques Appliquées
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Poster communications
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https://hal.archives-ouvertes.fr/hal-01667781
Contributor : Julyan Arbel Connect in order to contact the contributor
Submitted on : Tuesday, December 19, 2017 - 3:44:43 PM
Last modification on : Friday, February 4, 2022 - 3:12:29 AM

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  • HAL Id : hal-01667781, version 1

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CNRS | UPEC-UPEM | LJK | INRIA | LJK_PS | LJK_PS_MISTIS | UPEC | UGA | LAMA_UMR8050 | INRIA2

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Julyan Arbel, Jean-Bernard Salomond. Sequential Quasi Monte Carlo for Dirichlet Process Mixture Models. BNP 2017 - 11th Conference on Bayesian NonParametrics, Jun 2017, Paris, France. pp.1. ⟨hal-01667781⟩

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