Julien Chiquet

Maître de conférences (UEVE)

tel : +33(0)1 64 85 35 43
fax :

Laboratoire Statistique et Génome
UMR CNRS 8071, USC INRA
23 boulevard de France
91037 Évry, France


Google Scientific profile

I am an assistant professor at the University d'Évry, in the south of Paris, working in the "Statistique et Génome" Lab since october 2007, first as a post-doc like fellow, then as an assistant professor since october 2008. I completed my PhD thesis in June 2007 at the University of Technology of Compiègne, under the supervision of Nikolaos Limnios. By this time, I used to work on Markov and Semi-Markov processes with applications to reliability studies.

My work since 2007 at “Statistique et Génome” mainly focuses on Statistical learning (clustering, sparse regression methods, Gaussian graphical models) applied to the analysis of biological networks, microarrays and genomic data in general.

Here is a detailed Vitae (in french, updated january 2012 the 2nd).

Selected publications by theme

Here are my journal papers with associated preprints and slides. If any of these interests you, just ask me for a PDF copy.

Toggle publication list by year

Sparsity and Gaussian Graphical Models

  1. Chiquet, J., Grandvalet, Y. and Charbonnier, C. (accepted for the Annals of Applied Statistics). Sparsity in sign-coherent groups of variables via the cooperative-Lasso. arxiv:1103.2697 [stat.ME], R package, slideshare presentation
  2. Chiquet, J., Grandvalet, Y., & Ambroise, C. (2011). Inferring multiple graphical structures. Statistics and Computing, vol. 21(4), 537–553. arxiv:0912.4434 [stat.ME], final version, slideshare presentation
  3. Charbonnier, C., Chiquet, J., & Ambroise, C. (2010). Weighted-Lasso for Structured Network Inference from Time Course Data. Statistical Applications in Genetics and Molecular Biology, 9. arxiv:0910.1723 [stat.AP]final versionslideshare presentation
  4. Ambroise, C., Chiquet, J., & Matias, C. (2009). Inferring sparse Gaussian graphical models with latent structure. Electronic Journal of Statistics, 3, 205-238. arxiv:0810.3177 [stat.ME]final versionslideshare presentation
  5. Chiquet, J., Smith, A., Grasseau, G., Matias, C., & Ambroise, C. (2009). SIMoNe: Statistical Inference for MOdular NEtworks. Bioinformatics, 25(3), 417-418. final versionweb page (with slides)

Reliability and Markov / semi-Markov processes

  1. Chiquet, J., Limnios, N., & Eid, M. (2009). Piecewise deterministic Markov processes applied to fatigue-crack growth modelling. Journal of Statistical Planning and Inference, 139(5), 1657-1667. url
  2. Chiquet, J., & Limnios, N. (2008). A Method to Compute the Transition Function of a Piecewise Deterministic Markov Process with Application to Reliability. Statistics and Probability Letters, 78(12), 1397-1403. url
  3. Chiquet, J., Limnios, N., & Eid, M. (2008). Modelling and Estimation the Reliability of Stochastic Dynamical Systems with Markovian Switching. Reliabilty Engineering and System Safety, 93(12), 1801-1808. url
  4. Chiquet, J., & Limnios, N. (2008). Mathematical methods in survival analysis, reliability and quality of life. In C. Huber, N. Limnios & M. Mesbah & M. Nikulin (Eds.), Wiley/ISTE. url
  5. Chiquet, J., & Limnios, N. (2006). Estimating stochastic dynamical systems driven by a continuous-time jump Markov process. Methodology and Computing in Applied Probability, 8, 431-447. url

Popular science

  • Réseaux biologiques (2011). Chiquet, J. La gazette des mathématiciens No. 130 pp. 76–82 paper

Thesis

  • PhD Thesis (2007). Modélisation et estimation des processus de dégradation avec application en fiabilité des structures. mémoire, slides (écran), slides (papier), résumé
  • M.Sc. (2003). Estimation des températures journalières à l'aide de techniques markoviennes. mémoire

Teachings

The teaching pages are in french.

People

Present PhD Students

  • Camille Charbonnier started her thesis in september, 2009, under the supervision of Christophe Ambroise and myself. She is receiving a 3-year financial support from the french minister of Education and Research. She is working on statistical methods for Gaussian networks inference in a non-iid setting.
  • Jonathan Plassais started his thesis in october, 2010, under the supervision of Christophe Ambroise and myself. He is working half time at our laboratory, spending the rest of the week at TcLand expression, which supports half of the thesis. He is working on statistical methods to built gene signatures for Rheumatoid Arthritis from heterogeneous genomic data (microarray and SNPs).

Colleagues, co-authors

Friends

LaTeX style-sheets, Emacs

LaTeX style-sheet for PhD Thesis

my .emacs

by Stat & Génome
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