Sophie Donnet

发表

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

Sophie Donnet, 2016 .

Non parametric Bayesian estimation for Hawkes processes

Judith Rousseau, Vincent Rivoirard, Sophie Donnet, 2014 .

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

Jean-Baptiste Poline, Marc Lavielle, Sophie Donnet, 2006, NeuroImage.

Combining expert opinions in prior elicitation

Judith Rousseau, Kerrie Mengersen, Isabelle Albert, 2010 .

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

Sophie Donnet, 2012 .

Selection of temporal models for event related fMRI

Jean-Baptiste Poline, Philippe Ciuciu, Marc Lavielle, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Parametric inference for mixed models defined by diffusion processes

Sophie Donnet, Adeline Samson, 2008 .

Stochastic Modelling for Systems Biology (second edition)

Christian P. Robert, Sophie Donnet, C. Robert, 2012 .

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

Thomas Vincent, Philippe Ciuciu, Sophie Donnet, 2010 .

Effects of competition on collective learning in advice networks

Pierre Barbillon, Emmanuel Lazega, Avner Bar-Hen, 2016, Soc. Networks.

An empirical Bayes procedure for the selection of Gaussian graphical models

Jean-Michel Marin, Sophie Donnet, J. Marin, 2010, Stat. Comput..

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

Pierre Barbillon, Sophie Donnet, Saint-Clair Chabert-Liddell, 2021, Environmetrics.

A stochastic block model approach for the analysis of multilevel networks: An application to the sociology of organizations

Pierre Barbillon, Emmanuel Lazega, Sophie Donnet, 2021, Comput. Stat. Data Anal..

Accelerating Bayesian estimation for network Poisson models using frequentist variational estimates

Stéphane Robin, Sophie Donnet, S. Donnet, 2021, Journal of the Royal Statistical Society: Series C (Applied Statistics).

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

José Maria Fernandes, João Paulo Silva Cunha, Ramon Bartolo, 2014, Journal of neurophysiology.

Bayesian Analysis of Growth Curves Using Mixed Models Defined by Stochastic Differential Equations

Sophie Donnet, Jean-Louis Foulley, Adeline Samson, 2010, Biometrics.

Nonparametric Bayesian estimation for multivariate Hawkes processes

Judith Rousseau, Vincent Rivoirard, Sophie Donnet, 2018, The Annals of Statistics.

Parametric inference for mixed models defined by stochastic differential equations

Sophie Donnet, Adeline Samson, A. Samson, 2008 .

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

Judith Rousseau, Catia Scricciolo, Vincent Rivoirard, 2014, 1406.4406.

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, A. Samson, 2007 .

Stochastic Block Models for Multiplex networks: an application to networks of researchers

Pierre Barbillon, Emmanuel Lazega, Avner Bar-Hen, 2015, 1501.06444.

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

Sophie Donnet, Adeline Samson, A. Samson, 2013, Advanced drug delivery reviews.

Statistical Thinking in Epidemiology

Sophie Donnet, S. Donnet, 2012 .

Estimation of parameters in incomplete data models defined by dynamical systems

Sophie Donnet, Adeline Samson, A. Samson, 2007 .

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

Sophie Donnet, Adeline Samson, A. Samson, 2010 .

On Convergence Rates of Empirical Bayes Procedures

Judith Rousseau, Catia Scricciolo, Vincent Rivoirard, 2014 .