Randal Douc

3.2k total citations · 1 hit paper
43 papers, 1.7k citations indexed

About

Randal Douc is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Randal Douc has authored 43 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 24 papers in Artificial Intelligence and 11 papers in Finance. Recurrent topics in Randal Douc's work include Bayesian Methods and Mixture Models (17 papers), Markov Chains and Monte Carlo Methods (16 papers) and Target Tracking and Data Fusion in Sensor Networks (13 papers). Randal Douc is often cited by papers focused on Bayesian Methods and Mixture Models (17 papers), Markov Chains and Monte Carlo Methods (16 papers) and Target Tracking and Data Fusion in Sensor Networks (13 papers). Randal Douc collaborates with scholars based in France, Sweden and Canada. Randal Douc's co-authors include Olivier Cappé, Éric Moulines, Arnaud Guillin, Jimmy Olsson, Christian P. Robert, Gersende Fort, Philippe Soulier, David S. Stoffer, Catherine Matias and Jeffrey S. Rosenthal and has published in prestigious journals such as The Annals of Statistics, Stochastic Processes and their Applications and The Annals of Applied Probability.

In The Last Decade

Randal Douc

43 papers receiving 1.6k citations

Hit Papers

Comparison of resampling schemes for particle filtering 2005 2026 2012 2019 2005 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Comparison of resampling schemes for particle filtering
    2005 533 citations Randal Douc, Olivier Cappé profile →

Peers

Randal Douc
Vladimir Spokoiny Germany
Dan Crisan United Kingdom
Morris L. Eaton United States
Gérard Kerkyacharian France
Chii-Ruey Hwang Taiwan
Bharath K. Sriperumbudur United States
Ingo Steinwart United States
François Dufour France
Gersende Fort France
George Kimeldorf United States
Vladimir Spokoiny Germany
Randal Douc
Citations per year, relative to Randal Douc Randal Douc (= 1×) peers Vladimir Spokoiny

Countries citing papers authored by Randal Douc

Since Specialization
Citations

This map shows the geographic impact of Randal Douc's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Randal Douc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randal Douc more than expected).

Fields of papers citing papers by Randal Douc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Randal Douc. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Randal Douc. The network helps show where Randal Douc may publish in the future.

Co-authorship network of co-authors of Randal Douc

This figure shows the co-authorship network connecting the top 25 collaborators of Randal Douc. A scholar is included among the top collaborators of Randal Douc based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Randal Douc. Randal Douc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Douc, Randal, Éric Moulines, Pierre Priouret, & Philippe Soulier. (2018). Markov Chains. SPIRE - Sciences Po Institutional REpository. 84 indexed citations
2.
Douc, Randal, Éric Moulines, & David S. Stoffer. (2014). Nonlinear time series: theory, methods and applications with R examples. SPIRE - Sciences Po Institutional REpository. 44 indexed citations
3.
Douc, Randal, Éric Moulines, & Jimmy Olsson. (2013). Long-term stability of sequential Monte Carlo methods under verifiable conditions. 23 indexed citations
4.
Douc, Randal, et al.. (2013). Partial Ordering of Inhomogeneous Markov Chains with Applications to Markov Chain Monte Carlo Methods. arXiv (Cornell University). 1 indexed citations
5.
Douc, Randal, et al.. (2013). Ergodicity of observation-driven time series models and consistency of the maximum likelihood estimator. Stochastic Processes and their Applications. 123(7). 2620–2647. 47 indexed citations
6.
Douc, Randal & Éric Moulines. (2012). Asymptotic properties of the maximum likelihood estimation in misspecified hidden Markov models. The Annals of Statistics. 40(5). 20 indexed citations
7.
Douc, Randal, et al.. (2011). Scaling analysis of multiple-try MCMC methods. Stochastic Processes and their Applications. 122(3). 758–786. 27 indexed citations
8.
Douc, Randal, et al.. (2011). Consistency of the maximum likelihood estimator for general hidden markov models. 33 indexed citations
9.
Moulines, Éric, Arnaud Guillin, & Randal Douc. (2010). Bounds on Regeneration Times and Limit Theorems for Subgeometric Markov Chains. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 8 indexed citations
10.
Douc, Randal, Gersende Fort, & Arnaud Guillin. (2008). Subgeometric rates of convergence of f-ergodic strong Markov processes. Stochastic Processes and their Applications. 119(3). 897–923. 92 indexed citations
11.
Douc, Randal, et al.. (2008). Forgetting the initial distribution for Hidden Markov Models. Stochastic Processes and their Applications. 119(4). 1235–1256. 20 indexed citations
12.
Olsson, Jimmy, Olivier Cappé, Randal Douc, & Éric Moulines. (2008). Sequential Monte Carlo smoothing with application to parameter estimation in nonlinear state space models. Bernoulli. 14(1). 82 indexed citations
13.
Douc, Randal, Arnaud Guillin, & Miljko Erić. (2008). Bounds on regeneration times and limit theorems for subgeometric Markov chains. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 44(2). 12 indexed citations
14.
Douc, Randal, et al.. (2007). Adaptive importance sampling in general mixture classes. 116 indexed citations
15.
Douc, Randal, Éric Moulines, & Philippe Soulier. (2007). Computable convergence rates for sub-geometric ergodic Markov chains. Bernoulli. 13(3). 22 indexed citations
16.
Douc, Randal, François Roueff, & Philippe Soulier. (2007). On the existence of some ARCH(∞) processes. Stochastic Processes and their Applications. 118(5). 755–761. 24 indexed citations
17.
Olsson, Jimmy, Olivier Cappé, Randal Douc, & Éric Moulines. (2006). Sequential Monte Carlo smoothing with estimation in non-linear state space models. Lund University Publications (Lund University). 2 indexed citations
18.
Douc, Randal & Olivier Cappé. (2005). Comparison of resampling schemes for particle filtering. 64–69. 533 indexed citations breakdown →
19.
Douc, Randal, et al.. (2005). MODERATE DEVIATIONS FOR PARTICLE FILTERING. 6 indexed citations
20.
Douc, Randal & Catherine Matias. (2000). Propriétés asymptotiques de l'estimateur de maximum de vraisemblance pour des modèles de Markov cachés généraux. Comptes Rendus de l Académie des Sciences - Series I - Mathematics. 330(2). 135–138. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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