Nombre de documents

47

CV de Adeline Samson


Article dans une revue36 documents

  • Christophe Savariaux, Pierre Badin, Adeline Samson, Silvain Gerber. A comparative study of the precision of Carstens and Northern Digital Instruments electromagnetic articulographs. Journal of Speech, Language, and Hearing Research, American Speech-Language-Hearing Association, 2017, 60, pp.322-340. <10.1044/2016_JSLHR-S-15-0223>. <hal-01459411>
  • Pierre Barbillon, Célia Barthélémy, Adeline Samson. Parametric estimation of complex mixed models based on meta-model approach. Statistics and Computing, Springer Verlag (Germany), 2017, <10.1007/s11222-016-9674-x>. <hal-01162351>
  • Fabienne Comte, Gwennaelle Mabon, Adeline Samson. Spline regression for hazard rate estimation when data are censored and measured with error. Statistica Neerlandica, Wiley, 2017, 71 (2), pp.115-140. <http://onlinelibrary.wiley.com/doi/10.1111/stan.12103/full>. <10.1111/stan.12103>. <hal-01300739>
  • Maud Delattre, Valentine Genon-Catalot, Adeline Samson. Mixtures of stochastic differential equations with random effects: Application to data clustering. Journal of Statistical Planning and Inference, Elsevier, 2016, 173, pp.109-124. <10.1016/j.jspi.2015.12.003>. <hal-01218612>
  • Caroline Petit, Vincent Jullien, Adeline Samson, Jérémie Guedj, Jean-René Kiechel, et al.. Designing a paediatric study for an antimalarial drug including prior information from adults. Antimicrobial Agents and Chemotherapy, American Society for Microbiology, 2016, 60 (3), pp.1481-1491. <10.1128/AAC.01125-15>. <hal-01255863>
  • Tracy Bourne, Maëva Garnier, Adeline Samson. Physiological and acoustic characteristics of the male music theatre voice. Journal of the Acoustical Society of America, Acoustical Society of America, 2016, 140 (1), pp.610-621. <10.1121/1.4954751>. <hal-01349109>
  • Emmanuel Grenier, Celine Helbert, Violaine Louvet, Adeline Samson, Paul Vigneaux. Population parametrization of costly black box models using iterations between SAEM algorithm and kriging. Computational and Applied Mathematics, Springer Verlag, 2016, <http://link.springer.com/article/10.1007/s40314-016-0337-5>. <10.1007/s40314-016-0337-5>. <hal-01224004v2>
  • Maud Delattre, Valentine Genon-Catalot, Adeline Samson. Estimation of population parameters in stochastic differential equations with random effects in the diffusion coefficient. ESAIM: Probability and Statistics, EDP Sciences, 2015, 19, pp.671-688. <10.1051/ps/2015006 >. <hal-01056917v2>
  • Edouard Ollier, Adeline Samson, Xavier Delavenne, Vivian Viallon. A SAEM Algorithm for Fused Lasso Penalized NonLinear Mixed Effect Models: Application to Group Comparison in Pharmacokinetics. Computational Statistics and Data Analysis, Elsevier, 2015, 95, pp.207-221. <http://www.sciencedirect.com/science/article/pii/S0167947315002613>. <10.1016/j.csda.2015.10.006>. <hal-01234176>
  • Jérôme Dedecker, Adeline Samson, Marie-Luce Taupin. Estimation in autoregressive model with measurement error. ESAIM: Probability and Statistics, EDP Sciences, 2014, ESAIM Probability and Statistics 18, pp.277-307. <hal-00591114v2>
  • Susanne Ditlevsen, Adeline Samson. Estimation in the partially observed stochastic Morris-Lecar neuronal model with particle filter and stochastic approximation methods. Annals Of Applied Statistics, Institute Mathematical Statistics, 2014, 8 (2), pp.674-702. <10.1214/14-AOAS729 >. <hal-00712331v2>
  • Fabienne Comte, Adeline Samson, Julien Stirnemann. Deconvolution estimation of onset of pregnancy with replicate observations. Scandinavian Journal of Statistics, Wiley, 2014, 41 (2), pp.325-345. <10.1111/sjos.12029>. <hal-00588235v3>
  • 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>
  • Maud Delattre, Valentine Genon-Catalot, Adeline Samson. Maximum likelihood estimation for stochastic differential equations with random effects. Scandinavian Journal of Statistics, Wiley, 2013, 40 (2), pp.322-343. <10.1111/j.1467-9469.2012.00813.x/abstract>. <hal-00650844>
  • Fabienne Comte, Valentine Genon-Catalot, Adeline Samson. Nonparametric estimation for stochastic differential equations with random effects. Stochastic Processes and their Applications, Elsevier, 2013, 123 (7), pp.2522-2551. <10.1016/j.spa.2013.04.009>. <hal-00761394>
  • Fabienne Comte, Adeline Samson. Nonparametric estimation of random effects densities in linear mixed-effects model. Journal of Nonparametric Statistics, American Statistical Association, 2012, 24 (4), pp.951-975. <hal-00657052>
  • Adeline Samson, Michèle Thieullen. Contrast estimator for completely or partially observed hypoelliptic diffusion. Stochastic Processes and their Applications, Elsevier, 2012, Epub ahead of print. <10.1016/j.spa.2012.04.006>. <hal-00598553v2>
  • Julien Stirnemann, Adeline Samson, Jean-Christophe Thalabard. Individual predictions based on nonlinear mixed modeling: application to prenatal twin growth.. Statistics in Medicine, Wiley-Blackwell, 2012, epub ahead of print. <10.1002/sim.5319>. <hal-00686934>
  • Solange Whegang Youdom, Adeline Samson, Leonardo K Basco, Jean-Christophe Thalabard. Multiple treatment comparisons in a series of anti-malarials trials with an ordinal primary outcome and repeated treatment evaluations.. Malaria Journal, BioMed Central, 2012, 11 (1), pp.147. <10.1186/1475-2875-11-147>. <hal-00710906>
  • Charles-André Cuénod, Benjamin Favetto, Valentine Genon-Catalot, Yves Rozenholc, Adeline Samson. Parameter estimation and change-point detection from Dynamic Contrast Enhanced MRI data using stochastic differential equations.. Mathematical Biosciences, Elsevier, 2011, 233 (1), pp.1-76. <10.1016/j.mbs.2011.06.006>. <hal-00622864>
  • Marc Lavielle, Adeline Samson, Ana Karina Fermin, France Mentré. Maximum likelihood estimation of long-term HIV dynamic models and antiviral response. Biometrics, Wiley, 2011, 67 (1), pp.250-9. <10.1111/j.1541-0420.2010.01422.x>. <inserm-00486937>
  • Thierry Bastogne, Adeline Samson, Pierre Vallois, Sophie Mézières-Wantz, Sophie Pinel, et al.. Phenomenological modeling of tumor diameter growth based on a mixed effects model. Journal of Theoretical Biology, Elsevier, 2010, 262 (3), pp.544-552. <10.1016/j.jtbi.2009.10.008>. <hal-00390380>
  • Benjamin Favetto, Adeline Samson. Parameter estimation for a bidimensional partially observed Ornstein-Uhlenbeck process with biological application. Scandinavian Journal of Statistics, Wiley, 2010, 37 (2), pp.200:220. <10.1111/j.1467-9469.2009.00679.x>. <hal-00324133v2>
  • 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>
  • Frédéric Richard, Adeline Samson, Charles Cuénod. A SAEM algorithm for the estimation of template and deformation parameters in medical image sequences. Statistics and Computing, Springer Verlag (Germany), 2009, 19 (4), pp.465-478. <10.1007/s11222-008-9106-7>. <hal-00187723>
  • Xavière Panhard, Adeline Samson. Extension of the SAEM algorithm for nonlinear mixed models with 2 levels of random effects.. Biostatistics, Oxford University Press (OUP), 2009, 10 (1), pp.121-35. <10.1093/biostatistics/kxn020>. <inserm-00383201>
  • 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>
  • Gabriel Baron, Philippe Ravaud, Adeline Samson, Bruno Giraudeau. Missing data in randomized controlled trials of rheumatoid arthritis with radiographic outcomes: A simulation study.. Arthritis and Rheumatism, Wiley, 2008, 59 (1), pp.25-31. <10.1002/art.23253>. <inserm-00217436>
  • 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>
  • Sylvie Retout, Emmanuelle Comets, Adeline Samson, France Mentré. Design in nonlinear mixed effects models: optimization using the Fedorov-Wynn algorithm and power of the Wald test for binary covariates. Statistitics in Medicine, 2007, 26, pp.5162-5179. <hal-00263513>
  • Adeline Samson, Marc Lavielle, France Mentré. The SAEM algorithm for group comparison tests in longitudinal data analysis based on non-linear mixed-effects model. Statistics in Medicine, Wiley-Blackwell, 2007, 26, pp.4860-4875. <hal-00263511>
  • Adeline Samson, Marc Lavielle, France Mentré. The SAEM algorithm for group comparison tests in longitudinal data analysis based on non-linear mixed-effects model.. Statistics in Medicine, Wiley-Blackwell, 2007, 26 (27), pp.4860-75. <10.1002/sim.2950>. <inserm-00169790>
  • Sylvie Retout, Emmanuelle Comets, Adeline Samson, France Mentré. Design in nonlinear mixed effects models: Optimization using the Fedorov-Wynn algorithm and power of the Wald test for binary covariates.. Statistics in Medicine, Wiley-Blackwell, 2007, pp.2007. <10.1002/sim.2910>. <inserm-00150430>
  • Adeline Samson, Marc Lavielle, France Mentré. Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model. Computational Statistics and Data Analysis, Elsevier, 2006, 51 (3), pp.1562-1574. <10.1016/j.csda.2006.05.007>. <inserm-00182360>
  • Adeline Samson, Marc Lavielle, France Mentré. Extension of the SAEM algorithm to left-censored data in non-linear mixed-effects model: application to HIV dynamics model. Computational Statistics and Data Analysis, Elsevier, 2006, 51, pp.1562-1574. <hal-00263506>

Pré-publication, Document de travail7 documents

  • Jose R. Leon, Adeline Samson. Hypoelliptic stochastic FitzHugh-Nagumo neuronal model: mixing, up-crossing and estimation of the spike rate. 2017. <hal-01492590>
  • Charlotte Dion, Simone Hermann, Adeline Samson. Mixedsde: a R package to fit mixed stochastic differential equations. 2016. <hal-01305574>
  • Edouard Ollier, Adeline Samson, Xavier Delavenne, Vivian Viallon. A SAEM Algorithm for Fused Lasso Penalized Non Linear Mixed Effect Models: Application to Group Comparison in Pharmacokinetic. 2015. <hal-01157555>
  • Fabienne Comte, Adeline Samson, Julien Stirnemann. Hazard estimation for censored data contaminated with additive measurement error: application to length of pregnancy. MAP5 2015-18. 2015. <hal-01150296v2>
  • Sophie Donnet, Adeline Samson. Using PMCMC in EM algorithm for stochastic mixed models: theoretical and practical issues. 2014. <hal-00950760>
  • Julien Stirnemann, Fabienne Comte, Adeline Samson. Density estimation of a biomedical variable subject to measurement error using an auxiliary set of replicate observations. MAP5 2012-13. 2011. <hal-00687606>
  • Sophie Donnet, Adeline Samson. EM algorithm coupled with particle filter for maximum likelihood parameter estimation of stochastic differential mixed-effects models. MAP5 2010-24. 2011. <hal-00519576v2>

Autre publication1 document

  • Susanne Ditlevsen, Adeline Samson. Introduction to stochastic models in biology.. MAP5 2010-15. Middelfart 2008 Biomathematics summer school. 2010. <hal-00534445>

Communication dans un congrès3 documents

  • Thierry Bastogne, Adeline Samson, Sophie Mézières-Wantz, Pierre Vallois, Sophie Pinel, et al.. System identification of tumor growth described by a mixed effects model. 15th IFAC Symposium on System Identification, SYSID 2009, Jul 2009, Saint-Malo, France. pp.CDROM, 2009. <hal-00412535>
  • 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. 2009. <inria-00386568>
  • Frédéric Richard, Adeline Samson. Metropolis-Hastings methods for finite element-based registration. IEEE conference of the Computer Vision and Pattern Recognition CVPR 2007, Jun 2007, Mineapolis, United States. pp.0, 2007. <hal-00264283>