Jean-Louis Foulley

发表

Modelling and estimating heterogeneous variances in threshold models for ordinal discrete data via Winbugs/Openbugs

Jean-Louis Foulley, Florence Jaffrézic, J. Foulley, 2010, Comput. Methods Programs Biomed..

A structural mixed model to shrink covariance matrices for time-course differential gene expression studies

Jean-Louis Foulley, Florence Jaffrézic, Guillemette Marot, 2009, Comput. Stat. Data Anal..

A simple Bayesian procedure for forecasting the outcomes of the UEFA Champions League matches

Jean-Louis Foulley, 2015 .

Further insights into tests of variance components and model selection.

Jean-Louis Foulley, Céline Delmas, Christèle Robert-Granié, 2002 .

APPROXIMATE BAYESIAN APPROACHES FOR REVERSE ENGINEERING BIOLOGICAL NETWORKS

Rebecca W. Doerge, Andrea Rau, Jean-Louis Foulley, 2010 .

Mixed Model Methodology and the Box-Cox Theory of Transformations: A Bayesian Approach

Daniel Gianola, Rohan L. Fernando, Jean-Louis Foulley, 1990 .

Empirical Bayes approaches to PageRank type algorithms for rating scientific journals

Gilles Celeux, Julie Josse, Jean-Louis Foulley, 2017 .

An Empirical Bayesian Method for Estimating Biological Networks from Temporal Microarray Data

Rebecca W Doerge, Andrea Rau, Jean-Louis Foulley, 2010, Statistical applications in genetics and molecular biology.

Estimation in the probit normal model for binary outcomes using the SAEM algorithm

Cristian Meza, Jean-Louis Foulley, Florence Jaffrézic, 2009, Comput. Stat. Data Anal..

Moderated effect size and P-value combinations for microarray meta-analyses

Jean-Louis Foulley, Florence Jaffrézic, Guillemette Marot, 2009, Bioinform..

Reverse engineering gene regulatory networks using approximate Bayesian computation

Andrea Rau, Jean-Louis Foulley, Florence Jaffrézic, 2012, Stat. Comput..

More on verification of probability forecasts for football outcomes: score decompositions, reliability, and discrimination analyses

Jean-Louis Foulley, 2021 .

Multiple Recursive Random Number Generators and their APL programmes

Jean-Louis Foulley, 2005 .

A Method for Assessing Extent and Sources of Heterogeneity of Residual Variances in Mixed Linear Models

Jean-Louis Foulley, D. Gianola, J. Foulley, 1990 .

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

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

REML Estimation of Variance Parameters in Nonlinear Mixed Effects Models Using the SAEM Algorithm

Cristian Meza, Jean-Louis Foulley, Florence Jaffrézic, 2007, Biometrical journal. Biometrische Zeitschrift.

Marginal likelihood and Bayesian approaches to the analysis of heterogeneous residual variances in mixed linear Gaussian models

Daniel Gianola, Jean-Louis Foulley, D. Gianola, 1992 .

A structural mixed model for variances in differential gene expression studies.

Jean-Louis Foulley, Florence Jaffrézic, Isabelle Hue, 2007, Genetical research.

The Genome Response to Artificial Selection: A Case Study in Dairy Cattle

Mathieu Gautier, Simon Heath, Jean-Louis Foulley, 2009, PloS one.

A whole genome Bayesian scan for adaptive genetic divergence in West African cattle

Mathieu Gautier, Jean-Louis Foulley, Florence Jaffrézic, 2009, BMC Genomics.

Estimation of variance components with quasi‐continuous data using Bayesian methods

Daniel Gianola, Jean-Louis Foulley, D. Gianola, 1987 .