Preprint

  1. Grandclaudon M, Perrot-Dockès M, Trichot C, Mostafa-Abouzid O, Abou-Jaoudé W, Berger F, Hupé P, Thieffry D, et al.: A Quantitative Multivariate Model of Human Dendritic Cell-T Helper Cell Communication Cell, under revision
  2. Ambroise C, Chiquet J, Guinot F, Szafranski M: Fast Computation of Genome-Metagenome interaction effects preprint
    arXiv HAL
  3. Chiquet J, Mariadassous M, Robin S: Variational inference for sparse network reconstruction from count data preprint
    arXiv code

Journal papers

  1. Tabouy T, Barbillon P, Chiquet J: Variational Inference for Stochastic Block Models from Sampled Data Journal of the American Statistical Association 0: 1–20, 2019
    arXiv url code
  2. Chiquet J, Mariadassou M, Robin S: Variational inference for probabilistic Poisson PCA Ann Appl Statist 12: 2674–2698, 2018
    arXiv url code
  3. Perrot M, Lévy-Leduc C, Chiquet J, Sansonnet L, Brégère M, Étienne M-P, Robin S, Genta-Gouve G, et al.: A multivariate variable selection approach for analyzing LC-MS metabolomics data SAGMB, 2018
    arXiv url code
  4. Perrot M, Lévy-Leduc C, Sansonnet L, Chiquet J: Variable selection in multivariate linear models with high-dimensional covariance matrix estimation J Multivar Anal 166: 78–97, 2018
    arXiv url code
  5. Grandvalet Y, Chiquet J, Ambroise C: Sparsity by Worst-Case Penalties arXiv preprint, 2017
    arXiv code
  6. Brault V, Chiquet J, Lévy-Leduc C: Efficient block boundaries estimation in block-wise constant matrices: An application to HiC data Electron J Statist 11: 1570–1599, 2017
    arXiv code
  7. Chiquet J, Gutierrez P, Rigaill G: Fast tree inference with weighted fusion penalties Journal of Computational and Graphical Statistics: 205–216, 2017
    arXiv url code
  8. Chiquet J, Grandvalet Y, Rigaill G: Categorical regularization: Discussion of article by Tutz and Gertheiss Statistical Modelling: 228–237, 2016
    HAL url
  9. Chiquet J, Mary-Huard T, Robin S: Structured Regularization for conditional Gaussian Graphical Models Statistics and Computing: 789–804, 2016
    arXiv url code
  10. Latouche P, Mattei P-A, Bouveyron C, Chiquet J: Combining a Relaxed EM Algorithm with Occam’s Razor for Bayesian Variable Selection in High-Dimensional Regression Journal of Multivariate Analysis: 177–190, 2016
    HAL url code
  11. Picchetti T, Chiquet J, Elati M, Neuvial P, Nicolle R, Birmelé E: A model for gene deregulation detection using expression data BMC Systems Biology, 2015
    HAL url
  12. Chaloub B, Denoeud F, Liu S, Parkin S, Tang H, X. W, Chiquet J, 76 more, et al.: Early allopolyploid evolution in the post-neolithic Brassica napus oilseed genome Science: 950–953, 2014
    url
  13. Chelaifa H, Chagué V, Chalabi S, Mestiri I, Arnaud D, Deffains D, Lu Y, Belcram H, et al.: Prevalence of gene expression additivity in genetically stable wheat allohexaploids New Phytologist 197: 730–736, 2013
    url
  14. Chiquet J, Grandvalet Y, Charbonnier C: Sparsity in sign-coherent groups of variables via the cooperative-Lasso The Annals of Applied Statistics 6: 795–830, 2012
    arXiv url slides
  15. Chiquet J, Grandvalet Y, Ambroise C: Inferring multiple graphical models Statistics and Computing 21: 537–553, 2011
    arXiv url slides code
  16. Charbonnier C, Chiquet J, Ambroise C: Weighted-Lasso for structured network inference from time course data Statistical Applications in Genomics and Molecular Biology 9, 2010
    arXiv url slides code
  17. Ambroise C, Chiquet J, Matias C: Inferring sparse Gaussian graphical models with latent structure Electronic Journal of Statistics 3: 205–238, 2009
    arXiv url slides code
  18. Chiquet J, Smith A, Grasseau G, Matias C, Ambroise C: SIMoNe: Statistical Inference for MOdular NEtworks Bioinformatics 25: 417–418, 2009
    url code
  19. Chiquet J, Limnios N, Eid M: Piecewise deterministic Markov processes applied to fatigue crack growth modelling Journal of Statistical Planning and Inference 139: 1657–1667, 2009
    url
  20. Chiquet J, Limnios N: A method to compute the transition function of a piecewise deterministic Markov process Statistics and Probability Letters 78: 1397–1403, 2008
    url
  21. Chiquet J, Limnios N, Eid M: Modelling and Estimating Stochastic Dynamical Systems with Markovian Switching Reliability Engineering and System Safety 93: 1801–1808, 2008
    url
  22. Chiquet J, Limnios N: Estimating stochastic dynamical systems driven by a continuous-time jump Markov process Methodology and Computing in Applied Probability 8: 431–447, 2006
    url

Book chapter

  1. Chiquet J, Rigaill R, Sundqvist M: A Multiattribute Gaussian Graphical Model for Inferring Multiscale Regulatory Networks: An Application in Breast Cancer, in: Sanguinetti G, Huynh-Thu VA (eds) Gene Regulatory Networks: Methods and Protocols. Springer New York, 2019, pp. 143–160.
    url code
  2. Vacher A C. Tamaddoni-Nezhad, Kamenova S, Peyrard N, Schwaller L, Julien Chiquet J, Smith MA, Vallance J, Moalic Y, et al.: Advances in Ecological Research, in: 2016.
  3. Jeanmoungin M, Charbonnier C, Guedj M, Chiquet J: Probabilistic graphical models dedicated to applications in genetics, genomics and postgenomics, in: 2014.
    url
  4. Chiquet J, Limnios N: Stochastic Reliability and Maintenance Modeling, in: Vol 9. Springer Series in Reliability Engineering. Springer, 2013.
    url
  5. Chiquet J, Limnios N: Mathematical methods in survival analysis, reliability and quality of life, in: Wiley/ISTE, 2008.
    url
  1. Chiquet J: Statistique et génome: réseaux biologiques La gazette des mathématiciens 130: 76–82, 2011
    url

Thesis

  1. Chiquet J: Contributions to sparse methods for complex data analysis, 2015
    url
  2. Chiquet J: Modélisation et estimation des processus de dégradation avec application en fiabilité des structures, 2007
    url
  3. Chiquet J: Estimation des températures journalières à l’aide de techniques markoviennes, 2003
    url