22 citations · 22 across the 2 of their papers we have counts for
2 papers
stat.ME2016
Bayesian functional linear regression with sparse step functions
Paul-Marie Grollemund, Christophe Abraham, Meïli Baragatti +1
The functional linear regression model is a common tool to determine the relationship between a scalar outcome and a functional predictor seen as a function of time. This paper foc…
stat.ME2011★ 22 cited
Bayesian Variable Selection for Probit Mixed Models Applied to Gene Selection
Meili Baragatti
In computational biology, gene expression datasets are characterized by very few individual samples compared to a large number of measurements per sample. Thus, it is appealing to…