C. Lavergne

发表

Markov and semi-Markov switching linear mixed models for identifying forest tree growth components.

Y. Guédon, Florence Chaubert-Pereira, C. Lavergne, 2008 .

Optimal Prediction with Conditionally Heteroskedastic Factor Analysed Hidden Markov Models

C. Lavergne, Mohamed Saidane, 2009 .

Improved Nonlinear Multivariate Financial Time Series Prediction with Mixed-State Latent Factor Models

C. Lavergne, Mohamed Saidane, 2008 .

A structured variational learning approach for switching latent factor models

C. Lavergne, Mohamed Saidane, 2007 .

Conditionally heteroscedastic factorial HMMs for time series in finance

Mohamed Saidane, Christian Lavergne, C. Lavergne, 2007 .

Factor Analysed Hidden Markov Models for Conditionally Heteroscedastic Financial Time Series

C. Lavergne, Mohamed Saidane, 2006 .

Mixture of linear mixed models for clustering gene expression profiles from repeated microarray experiments

G. Celeux, C. Lavergne, O. Martin, 2005 .

Finite mixture models for exponential repeated data

C. Lavergne, C. Trottier, Marie-José Martinez, 2007 .

Contributions to the Estimation of Mixed-State Conditionally Heteroscedastic Latent Factor Models: A Comparative Study

C. Lavergne, Mohamed Saidane, 2008 .

An EM-Based Viterbi Approximation Algorithm for Mixed-State Latent Factor Models

C. Lavergne, Mohamed Saidane, 2008 .

Fitting animal survival models with temporal random effects

C. Lavergne, O. Gimenez, S. Cubaynes, 2014, Environmental and Ecological Statistics.

EM estimation of a Structural Equation Model

C. Lavergne, X. Bry, Myriam Tami, 2015, 1510.00137.

A Jackknife Method for Estimation of Variance Components

C. Lavergne, 1995 .

Generalized Linear Factor Models: A New Local EM Estimation Algorithm

C. Lavergne, Mohamed Saidane, X. Bry, 2013 .

Change of support effects in spatial variance-based sensitivity analysis

C. Lavergne, J. Bailly, N. Saint-Geours, 2012 .

An estimating function for a scalar parameter in a covariance operator

A. Antoniadis, C. Lavergne, 1994 .

Item response models for the longitudinal analysis of health-related quality of life in cancer clinical trials

C. Lavergne, T. Conroy, S. Gourgou, 2016, BMC Medical Research Methodology.

Contributions to The Estimation of Latent Factorial Generalized Linear Models

C. Lavergne, Mohamed Saidane, X. Bry, 2011 .

Explain Sentiments using Conditional Random Field and a Huge Lexical Network

Sandra Bringay, Pierre Pompidor, Mike Donald Tapi-Nzali, 2015, SIMBig.

Assessing individual heterogeneity using model selection criteria: how many mixture components in capture–recapture models?

Eric Marboutin, Olivier Gimenez, Sarah Cubaynes, 2012 .

On Factorial HMMs for Time Series in Finance

Mohamed Saidane, Christian Lavergne, C. Lavergne, 2006 .

Logistic regression model to estimate the risk of unbalanced offspring in reciprocal translocations

J. Demongeot, C. Lavergne, C. Cans, 1993, Human Genetics.

Modeling plant morphogenesis from genes to phenotype

Pierre Barbier De Reuille, Y. Guédon, Y. Caraglio, 2005 .

Markov and Semi‐Markov Switching Linear Mixed Models Used to Identify Forest Tree Growth Components

Catherine Trottier, Yann Guédon, Christian Lavergne, 2010, Biometrics.

Can the GQARCH Latent Factor Model Improve the Prediction Performance of Multivariate Financial Time Series?

Mohamed Saidane, Christian Lavergne, C. Lavergne, 2011 .

Applying the Longitudinal Model from Item Response Theory to Assess Health-Related Quality of Life in the PRODIGE 4/ACCORD 11 Randomized Trial

C. Lavergne, T. Conroy, C. Bascoul-Mollevi, 2016, Medical decision making : an international journal of the Society for Medical Decision Making.

Bootstrap and Asymptotic Prediction Criterion Estimates for Binomial Proportions in Insemination Data

C. Lavergne, M. Bonneu, 1992 .

Design of evolutionary algorithms-A statistical perspective

Olivier François, Christian Lavergne, O. François, 2001, IEEE Trans. Evol. Comput..

Sensitivity analysis of spatial models using geostatistical simulation

C. Lavergne, J. Bailly, N. Saint-Geours, 2011 .

Sensitivity analysis in presence of model uncertainty and correlated inputs

Julien Jacques, Nicolas Devictor, Christian Lavergne, 2006, Reliab. Eng. Syst. Saf..

Variance Function Estimation in Regression by Wavelet Methods

A. Antoniadis, C. Lavergne, 1995 .

Breast Cancer and Quality of Life: Medical Information Extraction from Health Forums

Sandra Bringay, Jérôme Azé, Thomas Opitz, 2014, MIE.

Learning and Inference in Mixed-State Conditionally Heteroskedastic Factor Models Using Viterbi Approximation

Mohamed Saidane, Christian Lavergne, C. Lavergne, 2006, International Conference on Computational Science.

A new online method for event detection and tracking: empirical evidence from the French stock market

Mohamed Saidane, Christian Lavergne, C. Lavergne, 2008 .

A New HMM Learning Algorithm for Event Studies : Empirical Evidence from the French Stock Market

C. Lavergne, Mohamed Saidane, 2007 .

Empirical model selection in generalized linear mixed effects models

Catherine Trottier, Christian Lavergne, Marie-José Martinez, 2008, Comput. Stat..

What Patients Can Tell Us: Topic Analysis for Social Media on Breast Cancer

Sandra Bringay, Thomas Opitz, Christian Lavergne, 2017, JMIR medical informatics.

[How to calculate the completeness of ascertainment of a morbidity register? Example of the Isere childhood handicap register in Grenoble, France].

C. Lavergne, C. Cans, P. Guillem, 2000, Revue d'epidemiologie et de sante publique.

EM algorithm estimation of a structural equation model for the longitudinal study of the quality of life

C. Lavergne, C. Bascoul-Mollevi, S. Gourgou, 2018, Statistics in medicine.

A mixture model-based approach to the clustering of exponential repeated data

Catherine Trottier, M. J. Martinez, C. Lavergne, 2009, J. Multivar. Anal..

ADVANSE: Sentiment, Opinion and Emotion Analysis in French Tweets

Pascal Poncelet, Sandra Bringay, Jérôme Azé, 2015 .

Identifying ontogenetic, environmental and individual components of forest tree growth.

Y. Guédon, Y. Caraglio, Florence Chaubert-Pereira, 2009, Annals of botany.

Generalized linear models in software reliability: parametric and semi-parametric approaches

M.-A. El-Aroui, C. Lavergne, C. Lavergne, 1996, IEEE Trans. Reliab..

What Patients Can Tell Us: Topic Analysis for Social Media on Breast Cancer

C. Lavergne, T. Opitz, S. Bringay, 2017, JMIR medical informatics.

Reconciliation of patient/doctor vocabulary in a structured resource

Sandra Bringay, Jérôme Azé, Mike Donald Tapi-Nzali, 2019, Health Informatics J..

Estimation in a Two Variance Components Model When one Component is Known

Olivier Gaudoin, Christian Lavergne, C. Lavergne, 1994 .

Multi-scale spatial sensitivity analysis of a model for economic appraisal of flood risk management policies

Frédéric Grelot, Jean-Stéphane Bailly, Christian Lavergne, 2014, Environ. Model. Softw..

Change of Support in Spatial Variance-Based Sensitivity Analysis

Jean-Stéphane Bailly, Frédéric Grelot, Christian Lavergne, 2012, Mathematical Geosciences.