About: Randal Douc

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An Entity of Type : foaf:Person, within Data Space : data.idref.fr associated with source document(s)

Attributes	Values
type	Person
sameAs	Douc, Randal (1971-....) Douc, Randal (1971-....) Douc, Randal (1971-....) Douc, Randal (1971-....) Douc, Randal (1971-....) Douc, Randal (1971-....)
Life Event	http://www.idref.fr/079485677/birth
bnf-onto:FRBNF	14553830(xsd:integer)
preferred label	Douc, Randal (1971-....)
name	Randal Douc
dbpedia-owl:citizenship	http://sws.geonames.org/3017382/
Language	http://lexvo.org/id/iso639-3/fra
isni:identifierValid	0000000077678021
Given name	Randal
familyName	Douc
has biographical i...tion (Deprecated)	Elève-ingénieur de l'Ecole Polytechnique, promotion 1992. Professeur de mathématiques à Télécom Sudparis (Evry) depuis 2008. Auteur d'une thèse en 2001 soutenue à Palaiseau Ecole Polytechnique : Problèmes statistiques pour des modèles à variables latentes : propriétés asymptotiques de l'estimateur du maximum de vraisemblance. Acteur, auteur dramatique
gender	male
ORCID iD	0000-0003-3910-9495
Scopus ID	8951560500
is sameAs of	Douc, Randal (1971-....) Douc, Randal (1971-....)
is Thesis advisor of	http://www.sudoc.fr/178578657/id http://www.sudoc.fr/166027421/id http://www.sudoc.fr/198085753/id http://www.sudoc.fr/259241288/id http://www.sudoc.fr/263851842/id
is Praeses of	Advances in computational Bayesian statistics and the approximation of Gibbs measures http://www.sudoc.fr/189618558/id http://www.sudoc.fr/18961773X/id http://www.sudoc.fr/259116807/id http://www.sudoc.fr/258350601/id http://www.sudoc.fr/26559698X/id http://www.sudoc.fr/233122745/id
is Narrator of	http://www.sudoc.fr/174832885/id http://www.sudoc.fr/249550350/id http://www.sudoc.fr/238179842/id http://www.sudoc.fr/232866937/id
is Author of	Problèmes statistiques pour des modèles à variables latentes, propriétés asymptotiques de l'estimateur du maximum de vraisemblance http://www.sudoc.fr/066781140/id http://www.sudoc.fr/079467067/id http://www.sudoc.fr/176608109/id Markov chains On the Forward Filtering Backward Smoothing particle approximations of the smoothing distribution in general state spaces models Mixture weights optimisation for alpha-divergence variational inference https://hal.archives-ouvertes.fr/hal-03912132#id Monotonic Alpha-divergence Minimisation for Variational Inference Comparison of Resampling Schemes for Particle Filtering Adaptive Importance Sampling in General Mixture Classes Computable Convergence Rates for Subgeometrically Ergodic Markov Chains http://www.sudoc.fr/198957785/id http://www.numdam.org/articles/10.1214/07-AIHP109#id Consistency of the Maximum Likelihood Estimator for general hidden Markov models Markov chains Necessary and sufficient conditions for the identifiability of observation-driven models Infinite-dimensional gradient-based descent for alpha-divergence minimisation http://www.sudoc.fr/246604700/id Adaptive Importance Sampling in General Mixture Classes Subgeometric ergodicity of Markov chains Subgeometric rates of convergence of f-ergodic strong Markov processes Practical drift conditions for subgeometric rates of convergence http://www.sudoc.fr/234104902/id http://www.sudoc.fr/232963177/id General-order observation-driven models: ergodicity and consistency of the maximum likelihood estimator Asymptotic convergence of iterative optimization algorithms Subgeometric rates of convergence of f-ergodic strong Markov processes On the existence of some ARCH($\infty$) processes A vanilla Rao–Blackwellization of Metropolis–Hastings algorithms Convergence of adaptive mixtures of importance sampling schemes Bounds on regeneration times and limit theorems for subgeometric Markov chains A global stochastic optimization particle filter algorithm Posterior consistency for partially observed Markov models Quantitative bounds on convergence of time-inhomogeneous Markov chains Sequential Monte Carlo smoothing with application to parameter estimation in non-linear state space models Asymptotics of the Maximum Likelihood Estimator for General Hidden Markov Models Bounds on Regeneration Times and Limit Theorems for Subgeometric Markov Chains Non singularity of the asymptotic Fisher information matrix in hidden Markov models Propriétés asymptotiques de l'estimateur de maximum de vraisemblance pour des modèles de Markov cachés généraux Forgetting of the initial distribution for Hidden Markov Models On the auxiliary particle filter Moderate deviations for particle filtering Asymptotic properties of quasi-maximum likelihood estimators in observation-driven time series models On the Convergence of the Monte Carlo Maximum Likelihood Method for Latent Variable Models Asymptotic properties of the maximum likelihood estimator in autoregressive models with Markov regime https://zbmath.org/1428593#id http://www.numdam.org/articles/10.1051/ps:2007028#id
is primary topic of	http://www.idref.fr/079485677
is Opponent of	http://www.sudoc.fr/202378659/id http://www.sudoc.fr/253848032/id http://www.sudoc.fr/232914877/id http://www.sudoc.fr/272922919/id http://www.sudoc.fr/233347097/id http://www.sudoc.fr/265590140/id
is Actor of	http://www.sudoc.fr/238522903/id
is marcrel:clb of	http://www.sudoc.fr/198948123/id http://www.sudoc.fr/198957246/id
is Author of introduction, etc. of	http://www.sudoc.fr/232963177/id
is Thesis referee of	http://www.sudoc.fr/278305474/id

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