Sophie Donnet

Sophie Donnet, Vincent Rivoirard, Judith Rousseau, Catia Scricciolo. Posterior concentration rates for empirical Bayes procedures with applications to Dirichlet process mixtures. Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2018, 24 (1), pp.231-256. ⟨10.3150/16-BEJ872⟩. ⟨hal-01570308v2⟩

Sophie Donnet, Vincent Rivoirard, Judith Rousseau, Catia Scricciolo. Posterior concentration rates for counting processes with Aalen multiplicative intensities. Bayesian Analysis, International Society for Bayesian Analysis, 2017, 12 (1), pp.53-87. ⟨10.1214/15-BA986⟩. ⟨hal-01044710⟩

Pierre Barbillon, Sophie Donnet, Emmanuel Lazega, Avner Bar-Hen. Stochastic block-models for multiplex networks : An application to a multilevel network of researchers. Journal of the Royal Statistical Society: Series A Statistics in Society, Royal Statistical Society, 2017, 180 (1), pp.295-314. ⟨10.1111/rssa.12193⟩. ⟨hal-01520820⟩

Sophie Donnet, Judith Rousseau. Bayesian inference for partially observed multiplicative intensity processes. Bayesian Analysis, International Society for Bayesian Analysis, 2016, 11 (1), pp.151-190. ⟨10.1214/15-BA940⟩. ⟨hal-01197643⟩

Emmanuel Lazega, Avner Bar-Hen, Pierre Barbillon, Sophie Donnet. Effects of competition on collective learning in advice networks. Social Networks, Elsevier, 2016, 47, pp.1 - 14. ⟨hal-01520660⟩

Marcos A. Capistrán, J. Andrés Christen, Sophie Donnet. Bayesian analysis of ODEs : solver optimal accuracy and bayes factors. SIAM/ASA Journal on Uncertainty Quantification, ASA, American Statistical Association, 2016, 4 (1), pp.829-849. ⟨10.1137/140976777⟩. ⟨hal-01570310⟩

Sophie Donnet, Adeline Samson. Using PMCMC in EM algorithm for stochastic mixed models: theoretical and practical issues. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2014, 155 (1), pp.49-72. ⟨hal-00950760⟩

Sophie Donnet, Ramon Bartolo, Jose Maria Fernandes, Joao Paulo Silva Cunha, Luis Prado, et al.. Monkeys time their pauses of movement and not their movement-kinematics during a synchronization-continuation rhythmic task. Journal of Neurophysiology, American Physiological Society, 2014, 111 (10), pp.2138-2149. ⟨10.1152/jn.00802.2013⟩. ⟨hal-01197634⟩

Sophie Donnet, Adeline Samson. Using PMCMC in EM algorithm for stochastic mixed models: theoretical and practical issues. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2014, 155 (1), pp.49-72. ⟨hal-01606789⟩

Sophie Donnet, Adeline Samson. A review on estimation of stochastic differential equations for pharmacokinetic/pharmacodynamic models. Advanced Drug Delivery Reviews, Elsevier, 2013, pp.1. ⟨10.1016/j.addr.2013.03.005⟩. ⟨hal-00777774⟩

Sophie Donnet. Review of ''Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies'' by Mark Chang. International Statistical Review, Wiley, 2012, 80 (1), pp.186-187. ⟨hal-00703160⟩

Isabelle Albert, Sophie Donnet, Chantal Guihenneuc-Jouyaux, Samantha Low-Choy, Kerrie Mengersen, et al.. Rejoinder. Bayesian Analysis, International Society for Bayesian Analysis, 2012, 7 (3), pp.541-546. ⟨10.1214/12-BA717REJ⟩. ⟨hal-01004758⟩

Isabelle Albert, Sophie Donnet, Chantal Guihenneuc-Jouyaux, Samantha Low-Choy, Kerrie Mengersen, et al.. Combining expert opinions in prior elicitation. Bayesian Analysis, International Society for Bayesian Analysis, 2012, 7 (3), pp.503-531. ⟨10.1214/12-ba717⟩. ⟨hal-01004440⟩

Sophie Donnet, Jean-Michel Marin. An empirical Bayes procedure for the selection of Gaussian graphical models. Statistics and Computing, Springer Verlag (Germany), 2011, 22 (5), pp.1113-1123. ⟨10.1007/s11222-011-9285-5⟩. ⟨hal-00658539⟩

Sophie Donnet, Jean-Louis Foulley, Adeline Samson. Bayesian analysis of growth curves using mixed models defined by stochastic differential equations. Biometrics, Wiley, 2010, 66 (3), pp.733-741. ⟨10.1111/j.1541-0420.2009.01342.x⟩. ⟨hal-00360111⟩

Sophie Donnet, Philippe Ciuciu, Laurent Risser, Thomas Vincent. A joint detection-estimation framework for analysing within-subject fMRI data. Journa de la Société Française de Statistiques, 2010, 151 (1), pp.58-89. ⟨hal-00703158⟩

Sophie Donnet, Adeline Samson. Parametric inference for mixed models defined by stochastic differential equations. ESAIM: Probability and Statistics, EDP Sciences, 2008, 12, pp.196-218. ⟨10.1051/ps:2007045⟩. ⟨hal-00263515⟩

Adeline Samson, Sophie Donnet. Estimation of parameters in incomplete data models defined by dynamical systems.. Journal of Statistical Planning and Inference, Elsevier, 2007, 137 (9), pp.2815-2831. ⟨10.1016/j.jspi.2006.10.013⟩. ⟨hal-00263507⟩

Sophie Donnet, Adeline Samson. Discussion on "Parameter estimation for differential equations: a generalized smoothing approach" (by Ramsay JO, Hooker G, Campbell D and Cao J),. Journal of the Royal Statistical Society: Series B, Royal Statistical Society, 2007, 69 (5), pp.741-796. ⟨hal-00703159⟩

Sophie Donnet, Marc Lavielle, Jean-Baptiste Poline. Are fMRI event-related response constant in time? A model selection answer. NeuroImage, Elsevier, 2006, 31, pp.1169 - 1176. ⟨hal-00415832⟩

Sophie Donnet, Avner Bar-Hen, Pierre Barbillon. Modèles à blocs latents pour graphe multipartite Application aux interactions entre espèces animales et plantes. 49. Journées de Statistique de la SFdS, May 2017, Avignon, France. ⟨hal-01557217⟩

Sophie Donnet, Julien Chiquet, Marie Pierre Etienne, Adeline Samson. Méthode conjointe de segmentation-classification pour des modèles d'écologie du déplacement. 49. Journées de Statistique de la SFdS, May 2017, Avignon, France. 2 p. ⟨hal-01565530⟩

Sophie Donnet. Discussion on "Recent Developments in Pharmacokinetics and Pharmacodynamic Modeling and Data Analysis". XXVIII. International Biometric Conference (IBC 2016), Jul 2016, Victoria, Canada. ⟨hal-01565528⟩

Sophie Donnet, Vincent Rivoirard. Estimation bayésienne non-paramétrique pour les processus de Hawkes. 47. Journées de Statistique de la SFdS, Jun 2015, Lille, France. 6 p. ⟨hal-01565526⟩

Sophie Donnet, Vincent Rivoirard, Judith Rousseau. Estimation bayésienne non paramétrique pour processus de Hawkes multidimensionnels. Congrés SMAI 2015, Jun 2015, Les Karellis, France. ⟨hal-01565529⟩

Sophie Donnet, Judith Rousseau, Vincent Rivoirard. Non parametric Bayesian estimation for Hawkes processes. International Society for Bayesian Analysis World Meeting, ISBA 2014 , Jul 2014, Cancun, Mexico. pp.1. ⟨hal-01565527⟩

Sophie Donnet, Jean-Louis Foulley, Adeline Samson. Analyse bayésienne de courbes de croissance par des modèles à effets mixtes définis par équations différentielles stochastiques.. 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France. ⟨inria-00386568⟩

Sophie Donnet, Stéphane Robin. Bayesian inference for network Poisson models. 2019. ⟨hal-02192621⟩

Saint-Clair Chabert-Liddell, Pierre Barbillon, Sophie Donnet, Emmanuel Lazega. A Stochastic Block Model for Multilevel Networks: Application to the Sociology of Organisations. 2019. ⟨hal-02353711⟩

Sophie Donnet, Vincent Rivoirard, Judith Rousseau. NONPARAMETRIC BAYESIAN ESTIMATION OF MULTIVARIATE HAWKES PROCESSES. 2018. ⟨hal-01710564v2⟩

Avner Bar-Hen, P. Barbillon, Sophie Donnet. Block model for multipartite networks. Applications in ecology and ethnobiology. 2018. ⟨hal-01850875⟩

Sophie Donnet, Stéphane Robin. Shortened Bridge Sampler: Using deterministic approximations to accelerate SMC for posterior sampling. 2017. ⟨hal-01566898⟩

Sophie Donnet, Judith Rousseau, Vincent Rivoirard, Catia Scricciolo. Posterior concentration rates for empirical Bayes procedures, with applications to Dirichlet Process mixtures. Supplementary material. 2014. ⟨hal-01007554⟩

Sophie Donnet, Vincent Rivoirard, Judith Rousseau, Catia Scricciolo. Posterior concentration rates for empirical Bayes procedures, with applications to Dirichlet Process mixtures. 2014. ⟨hal-01007444⟩

Sophie Donnet, Judith Rousseau. Bayesian Inference for Partially Observed Branching Processes. 2013. ⟨hal-00776926⟩

Sophie Donnet, Adeline Samson. EM algorithm coupled with particle filter for maximum likelihood parameter estimation of stochastic differential mixed-effects models. 2011. ⟨hal-00519576v2⟩

Sophie Donnet, Christian Robert. Book reviews, Winter 2012. 2012. ⟨hal-00731510⟩

Sophie Donnet, M. Samson. Parametric Estimation for Diffusion Processes from Discrete-time and Noisy Observations. [Research Report] RR-5809, INRIA. 2000, pp.26. ⟨inria-00070215⟩