Sophie Donnet

Documents

Présentation

Publications

	Using the multivariate Hawkes process to study interactions between multiple species from camera trap data Lisa Nicvert , Sophie Donnet , Mark Keith , Mike Peel , Michael J Somers Ecology, inPress, ⟨10.1002/ecy.4237⟩ Article dans une revue hal-04465235v1
	Impact of the mesoscale structure of a bipartite ecological interaction network on its robustness through a probabilistic modeling Saint-Clair Chabert-Liddell , Pierre M Barbillon , Sophie Donnet Environmetrics, 2022, 33 (2), ⟨10.1002/env.2709⟩ Article dans une revue hal-03259474v1
	A hierarchical Bayesian approach for incorporating expert opinions into parametric survival models: a case study of female Ixodes ricinus ticks exposed to various temperature and relative humidity conditions Phrutsamon Wongnak , Severine Bord , Sophie Donnet , Thierry Hoch , Frederic Beugnet Ecological Modelling, 2022, 464, pp.109821. ⟨10.1016/j.ecolmodel.2021.109821⟩ Article dans une revue hal-03428117v1
	Accelerating Bayesian estimation for network Poisson models using frequentist variational estimates Sophie Donnet , Stéphane Robin Journal of the Royal Statistical Society: Series C Applied Statistics, 2021, 70 (4), pp.858-885. ⟨10.1111/rssc.12489⟩ Article dans une revue hal-03202058v1
	A Stochastic Block Model Approach for the Analysis of Multilevel Networks: an Application to the Sociology of Organizations Saint-Clair Chabert-Liddell , Pierre Barbillon , Sophie Donnet , Emmanuel Lazega Computational Statistics and Data Analysis, 2021, 158, pp.107179. ⟨10.1016/j.csda.2021.107179⟩ Article dans une revue hal-02353711v1
	Nonparametric Bayesian estimation for multivariate Hawkes processes Sophie Donnet , Vincent Rivoirard , Judith Rousseau Annals of Statistics, 2020, 48 (5), pp.2698-2727 Article dans une revue hal-03320970v1
	Block models for generalized multipartite networks: Applications in ecology and ethnobiology Avner Bar-Hen , Pierre M Barbillon , Sophie Donnet Statistical Modelling, 2020, pp.1471082X2096325. ⟨10.1177/1471082X20963254⟩ Article dans une revue hal-03117427v1
	Posterior concentration rates for empirical Bayes procedures with applications to Dirichlet process mixtures Sophie Donnet , Vincent Rivoirard , Judith Rousseau , Catia Scricciolo Bernoulli, 2018, 24 (1), pp.231-256. ⟨10.3150/16-BEJ872⟩ Article dans une revue hal-01570308v2
	Stochastic block-models for multiplex networks : An application to a multilevel network of researchers Pierre Barbillon , Sophie Donnet , Emmanuel Lazega , Avner Bar-Hen Journal of the Royal Statistical Society: Series A Statistics in Society, 2017, 180 (1), pp.295-314. ⟨10.1111/rssa.12193⟩ Article dans une revue hal-01520820v1
	Posterior concentration rates for counting processes with Aalen multiplicative intensities Sophie Donnet , Vincent Rivoirard , Judith Rousseau , Catia Scricciolo Bayesian Analysis, 2017, 12 (1), pp.53-87. ⟨10.1214/15-BA986⟩ Article dans une revue hal-01044710v1
	Bayesian analysis of ODEs : solver optimal accuracy and bayes factors Marcos A. Capistrán , J. Andrés Christen , Sophie Donnet SIAM/ASA Journal on Uncertainty Quantification, 2016, 4 (1), pp.829-849. ⟨10.1137/140976777⟩ Article dans une revue hal-01570310v1
	Bayesian inference for partially observed multiplicative intensity processes Sophie Donnet , Judith Rousseau Bayesian Analysis, 2016, 11 (1), pp.151-190. ⟨10.1214/15-BA940⟩ Article dans une revue hal-01197643v1
	Effects of competition on collective learning in advice networks Emmanuel Lazega , Avner Bar-Hen , Pierre Barbillon , Sophie Donnet Social Networks, 2016, 47, pp.1 - 14. ⟨10.1016/j.socnet.2016.04.001⟩ Article dans une revue hal-01520660v1
	Using PMCMC in EM algorithm for stochastic mixed models: theoretical and practical issues Sophie Donnet , Adeline Samson Journal de la Société Française de Statistique, 2014, 155 (1), pp.49-72 Article dans une revue hal-00950760v2
	Monkeys time their pauses of movement and not their movement-kinematics during a synchronization-continuation rhythmic task Sophie Donnet , Ramon Bartolo , Jose Maria Fernandes , Joao Paulo Silva Cunha , Luis Prado Journal of Neurophysiology, 2014, 111 (10), pp.2138-2149. ⟨10.1152/jn.00802.2013⟩ Article dans une revue hal-01197634v1
	A review on estimation of stochastic differential equations for pharmacokinetic/pharmacodynamic models Sophie Donnet , Adeline Samson Advanced Drug Delivery Reviews, 2013, 65 (7), pp.1. ⟨10.1016/j.addr.2013.03.005⟩ Article dans une revue hal-00777774v1
	Review of ''Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies'' by Mark Chang Sophie Donnet International Statistical Review, 2012, 80 (1), pp.186-187 Article dans une revue hal-00703160v1
	Combining expert opinions in prior elicitation Isabelle I. Albert , Sophie S. Donnet , Chantal C. Guihenneuc-Jouyaux , Samantha S. Low-Choy , Kerrie K. Mengersen Bayesian Analysis, 2012, 7 (3), pp.503-531. ⟨10.1214/12-BA717⟩ Article dans une revue hal-01004440v1
	Rejoinder Isabelle I. Albert , Sophie S. Donnet , Chantal C. Guihenneuc-Jouyaux , Samantha S. Low-Choy , Kerrie K. Mengersen Bayesian Analysis, 2012, 7 (3), pp.541-546. ⟨10.1214/12-BA717REJ⟩ Article dans une revue hal-01004758v1
	An empirical Bayes procedure for the selection of Gaussian graphical models Sophie Donnet , Jean-Michel Marin Statistics and Computing, 2011, 22 (5), pp.1113-1123. ⟨10.1007/s11222-011-9285-5⟩ Article dans une revue hal-00658539v1
	A joint detection-estimation framework for analysing within-subject fMRI data Sophie Donnet , Philippe Ciuciu , Laurent Risser , Thomas Vincent Journa de la Société Française de Statistiques, 2010, 151 (1), pp.58-89 Article dans une revue hal-00703158v1
	Bayesian analysis of growth curves using mixed models defined by stochastic differential equations Sophie Donnet , Jean-Louis Foulley , Adeline Samson Biometrics, 2010, 66 (3), pp.733-741. ⟨10.1111/j.1541-0420.2009.01342.x⟩ Article dans une revue hal-00360111v1
	Parametric inference for mixed models defined by stochastic differential equations Sophie Donnet , Adeline Samson ESAIM: Probability and Statistics, 2008, 12, pp.196-218. ⟨10.1051/ps:2007045⟩ Article dans une revue hal-00263515v1
	Discussion on "Parameter estimation for differential equations: a generalized smoothing approach" (by Ramsay JO, Hooker G, Campbell D and Cao J), Sophie Donnet , Adeline Samson Journal of the Royal Statistical Society: Series B, 2007, 69 (5), pp.741-796 Article dans une revue hal-00703159v1
	Estimation of parameters in incomplete data models defined by dynamical systems. Adeline Samson , Sophie Donnet Journal of Statistical Planning and Inference, 2007, 137 (9), pp.2815-2831. ⟨10.1016/j.jspi.2006.10.013⟩ Article dans une revue hal-00263507v1
	Are fMRI event-related response constant in time? A model selection answer Sophie Donnet , Marc Lavielle , Jean-Baptiste Poline NeuroImage, 2006, 31, pp.1169 - 1176 Article dans une revue hal-00415832v1

	Modeling Heaping in Marine Surveys : A Bayesian Approach Éric É. Parent , Matthieu A Authier , Sophie Donnet , Isabelle Albert , Daouda Ba Journées de statistiques de la SFDS, Jun 2019, Nancy, France Communication dans un congrès hal-02930953v1
	Modèles à blocs latents pour graphe multipartite Application aux interactions entre espèces animales et plantes Sophie Donnet , Avner Bar-Hen , Pierre Barbillon 49. Journées de Statistique de la SFdS, May 2017, Avignon, France Communication dans un congrès hal-01557217v1
	Méthode conjointe de segmentation-classification pour des modèles d'écologie du déplacement Sophie Donnet , Julien Chiquet , Marie Pierre Etienne , Adeline Samson 49. Journées de Statistique de la SFdS, May 2017, Avignon, France. 2 p Communication dans un congrès hal-01565530v1
	Discussion on "Recent Developments in Pharmacokinetics and Pharmacodynamic Modeling and Data Analysis" Sophie Donnet XXVIII. International Biometric Conference (IBC 2016), Jul 2016, Victoria, Canada Communication dans un congrès hal-01565528v1
	Estimation bayésienne non-paramétrique pour les processus de Hawkes Sophie Donnet , Vincent Rivoirard 47. Journées de Statistique de la SFdS, Jun 2015, Lille, France. 6 p Communication dans un congrès hal-01565526v1
	Estimation bayésienne non paramétrique pour processus de Hawkes multidimensionnels Sophie Donnet , Vincent Rivoirard , Judith Rousseau Congrés SMAI 2015, Jun 2015, Les Karellis, France Communication dans un congrès hal-01565529v1
	Non parametric Bayesian estimation for Hawkes processes Sophie Donnet , Judith Rousseau , Vincent Rivoirard International Society for Bayesian Analysis World Meeting, ISBA 2014, Jul 2014, Cancun, Mexico. pp.1 Communication dans un congrès hal-01565527v1
	Analyse bayésienne de courbes de croissance par des modèles à effets mixtes définis par équations différentielles stochastiques. Sophie Donnet , Jean-Louis Foulley , Adeline Samson 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France Communication dans un congrès inria-00386568v1

	Monitoring the ribosome dynamics at the single molecule level Véronique Vienne , Baptiste Bouhet , Antonin Tidu , Sandra Blanchet , Charles Truong 1st scientific day of the Living Machines @ Work interdisciplinary network, Oct 2023, Gif sur Yvette, France Poster de conférence hal-04240628v1

	Coupling ecological network analysis with high-throughput sequencing-based surveys: Lessons from the next-generation biomonitoring project Maxime Dubart , Pascal Alonso , Didac Barroso-Bergadà , N. Becker , Kevine Bethune David A. Bohan; Alex J. Dumbrell; Adam J. Vanbergen. The Future of Agricultural Landscapes, Part III, 65, Elsevier, pp.367-430, 2022, Advances in Ecological Research, 9780323915038. ⟨10.1016/bs.aecr.2021.10.007⟩ Chapitre d'ouvrage hal-03634351v1
	Chapter 6: Using Latent Block Models to Detect Structure in Ecological Networks Julie J. Aubert , Pierre M Barbillon , Sophie Donnet , Vincent Miele Statistical Approaches for Hidden Variables in Ecology., Wiley, pp.117-134, 2022, ⟨10.1002/9781119902799.ch6⟩ Chapitre d'ouvrage hal-03811607v1

	Learning common structures in a collection of networks. An application to food webs Saint-Clair Chabert-Liddell , Pierre M Barbillon , Sophie Donnet 2023 Pré-publication, Document de travail hal-03685293v2
	Auto-encoding GPS data to reveal individual and collective behaviour Saint-Clair Chabert-Liddell , Nicolas Bez , Pierre Gloaguen , Sophie Donnet , Stéphanie Mahévas 2023 Pré-publication, Document de travail hal-04317516v1
	Bayesian inference for network Poisson models Sophie Donnet , Stéphane Robin 2019 Pré-publication, Document de travail hal-02192621v1
	Block model for multipartite networks. Applications in ecology and ethnobiology Avner Bar-Hen , P. Barbillon , Sophie Donnet 2018 Pré-publication, Document de travail hal-01850875v1
	Shortened Bridge Sampler: Using deterministic approximations to accelerate SMC for posterior sampling Sophie Donnet , Stéphane Robin 2017 Pré-publication, Document de travail hal-01566898v1
	Posterior concentration rates for empirical Bayes procedures, with applications to Dirichlet Process mixtures. Supplementary material Sophie Donnet , Judith Rousseau , Vincent Rivoirard , Catia Scricciolo 2014 Pré-publication, Document de travail hal-01007554v1
	Posterior concentration rates for empirical Bayes procedures, with applications to Dirichlet Process mixtures Sophie Donnet , Vincent Rivoirard , Judith Rousseau , Catia Scricciolo 2014 Pré-publication, Document de travail hal-01007444v1
	Bayesian Inference for Partially Observed Branching Processes Sophie Donnet , Judith Rousseau 2013 Pré-publication, Document de travail hal-00776926v1
	EM algorithm coupled with particle filter for maximum likelihood parameter estimation of stochastic differential mixed-effects models Sophie Donnet , Adeline Samson 2011 Pré-publication, Document de travail hal-00519576v2

	Book reviews, Winter 2012 Sophie Donnet , Christian Robert 2012 Rapport hal-00731510v1
	Parametric Estimation for Diffusion Processes from Discrete-time and Noisy Observations Sophie Donnet , M. Samson [Research Report] RR-5809, INRIA. 2000, pp.26 Rapport inria-00070215v1

	Contributions à l’inférence statistique de modèles complexes Sophie Donnet Mathematics [math]. Université Paris Sud - Paris 11, 2018 HDR tel-02789900v1
	Contributions à l’inférence statistique de modèles complexes Sophie Donnet Statistiques [stat]. Université Paris-Saclay, 2018 HDR tel-04438090v1

	sbm: Stochastic Blockmodels Julien Chiquet , Pierre Barbillon , Sophie Donnet 2020, ⟨swh:1:dir:342203ea90175627b44e4b500b7966ce3d21ddc3;origin=https://hal.archives-ouvertes.fr/hal-04440688;visit=swh:1:snp:a12bad1f327a8ff6193d558cf2eb1919216ecad3;anchor=swh:1:rel:6ca2ed265b55618665153ccc2bac62f594aecc21;path=/⟩ Logiciel hal-04440688v1

Sophie Donnet

Présentation

Publications

Using the multivariate Hawkes process to study interactions between multiple species from camera trap data

Impact of the mesoscale structure of a bipartite ecological interaction network on its robustness through a probabilistic modeling

A hierarchical Bayesian approach for incorporating expert opinions into parametric survival models: a case study of female Ixodes ricinus ticks exposed to various temperature and relative humidity conditions

Accelerating Bayesian estimation for network Poisson models using frequentist variational estimates

A Stochastic Block Model Approach for the Analysis of Multilevel Networks: an Application to the Sociology of Organizations

Nonparametric Bayesian estimation for multivariate Hawkes processes

Block models for generalized multipartite networks: Applications in ecology and ethnobiology

Posterior concentration rates for empirical Bayes procedures with applications to Dirichlet process mixtures

Stochastic block-models for multiplex networks : An application to a multilevel network of researchers

Posterior concentration rates for counting processes with Aalen multiplicative intensities

Bayesian analysis of ODEs : solver optimal accuracy and bayes factors

Bayesian inference for partially observed multiplicative intensity processes

Effects of competition on collective learning in advice networks

Using PMCMC in EM algorithm for stochastic mixed models: theoretical and practical issues

Monkeys time their pauses of movement and not their movement-kinematics during a synchronization-continuation rhythmic task

A review on estimation of stochastic differential equations for pharmacokinetic/pharmacodynamic models

Review of ''Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies'' by Mark Chang

Combining expert opinions in prior elicitation

Rejoinder

An empirical Bayes procedure for the selection of Gaussian graphical models

A joint detection-estimation framework for analysing within-subject fMRI data

Bayesian analysis of growth curves using mixed models defined by stochastic differential equations

Parametric inference for mixed models defined by stochastic differential equations

Discussion on "Parameter estimation for differential equations: a generalized smoothing approach" (by Ramsay JO, Hooker G, Campbell D and Cao J),

Estimation of parameters in incomplete data models defined by dynamical systems.

Are fMRI event-related response constant in time? A model selection answer

Modeling Heaping in Marine Surveys : A Bayesian Approach

Modèles à blocs latents pour graphe multipartite Application aux interactions entre espèces animales et plantes

Méthode conjointe de segmentation-classification pour des modèles d'écologie du déplacement

Discussion on "Recent Developments in Pharmacokinetics and Pharmacodynamic Modeling and Data Analysis"

Estimation bayésienne non-paramétrique pour les processus de Hawkes

Estimation bayésienne non paramétrique pour processus de Hawkes multidimensionnels

Non parametric Bayesian estimation for Hawkes processes

Analyse bayésienne de courbes de croissance par des modèles à effets mixtes définis par équations différentielles stochastiques.

Monitoring the ribosome dynamics at the single molecule level

Coupling ecological network analysis with high-throughput sequencing-based surveys: Lessons from the next-generation biomonitoring project

Chapter 6: Using Latent Block Models to Detect Structure in Ecological Networks

Learning common structures in a collection of networks. An application to food webs

Auto-encoding GPS data to reveal individual and collective behaviour

Bayesian inference for network Poisson models

Block model for multipartite networks. Applications in ecology and ethnobiology

Shortened Bridge Sampler: Using deterministic approximations to accelerate SMC for posterior sampling

Posterior concentration rates for empirical Bayes procedures, with applications to Dirichlet Process mixtures. Supplementary material

Posterior concentration rates for empirical Bayes procedures, with applications to Dirichlet Process mixtures

Bayesian Inference for Partially Observed Branching Processes

EM algorithm coupled with particle filter for maximum likelihood parameter estimation of stochastic differential mixed-effects models

Book reviews, Winter 2012

Parametric Estimation for Diffusion Processes from Discrete-time and Noisy Observations

Contributions à l’inférence statistique de modèles complexes

Contributions à l’inférence statistique de modèles complexes

sbm: Stochastic Blockmodels