10.6k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Télécom ParisFR516 papers
- Centre National de la Recherche ScientifiqueFR356 papers
- ParisTechFR240 papers
- Université Paris-SaclayFR115 papers
- Université Paris-SudFR106 papers
- University of CambridgeGB95 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR94 papers
- Institut d'Astrophysique de ParisFR92 papers
- Sapienza University of RomeIT91 papers
- Imperial College LondonGB90 papers
- University of TorontoCA90 papers
- California Institute of TechnologyUS89 papers
6 papers · 2 filters
Frequency estimation based on the cumulated Lomb-Scargle periodogram
Céline Lévy-Leduc, Eric Moulines, François Roueff
We consider the problem of estimating the period of an unknown periodic function observed in additive noise sampled at irregularly spaced time instants in a semiparametric setting.…
Log-average periodogram estimator of the memory parameter
Valderio Reisen, Eric Moulines, Philippe Soulier +1
This paper introduces a semiparametric regression estimator of the memory parameter for long-memory time series process. It is based on the regression in a neighborhood of the zero…
Forgetting of the initial condition for the filter in general state-space hidden Markov chain: a coupling approach
Randal Douc, Eric Moulines, Ya'Acov Ritov
We give simple conditions that ensure exponential forgetting of the initial conditions of the filter for general state-space hidden Markov chain. The proofs are based on the coupli…
On the auxiliary particle filter
Randal Douc, Eric Moulines, Jimmy Olsson
In this article we study asymptotic properties of weighted samples produced by the auxiliary particle filter (APF) proposed by pitt and shephard (1999). Besides establishing a cent…
Subgeometric ergodicity of Markov chains
Randal Douc, Eric Moulines, Philippe Soulier
The goal of this paper is to give a short and self contained proof of general bounds for subgeometric rates of convergence, under practical conditions. The main result whose proof,…
Forgetting of the initial distribution for Hidden Markov Models
Randal Douc, Gersende Fort, Eric Moulines +1
The forgetting of the initial distribution for discrete Hidden Markov Models (HMM) is addressed: a new set of conditions is proposed, to establish the forgetting property of the fi…