26 citations · 61 across the 9 of their papers we have counts for
10 papers
The revisited knockoffs method for variable selection in L1-penalised regressions
Anne Gégout-Petit, Aurélie Gueudin-Muller, Clémence Karmann
We consider the problem of variable selection in regression models. In particular, we are interested in selecting explanatory covariates linked with the response variable and we wa…
A new centered spatio-temporal autologistic regression model. Application to spatio-temporal analysis of esca disease in a vineyard
Anne Gégout-Petit, Lucia Guérin-Dubrana, Shuxian Li
We propose a new centered autologistic spatio-temporal model for binary data on a lattice. The centering allows the interpretation of the autoregression coefficients in separating…
Penalized polytomous ordinal logistic regression using cumulative logits. Application to network inference of zero-inflated variables
Aurélie Deveau, Anne Gégout-Petit, Clémence Karmann
We consider the problem of variable selection when the response is ordinal, that is an ordered categorical variable. In particular, we are interested in selecting quantitative expl…
Hidden Markov Model for the detection of a degraded operating mode of optronic equipment
Camille Baysse, Didier Bihannic, Anne Gégout-Petit +2
As part of optimizing the reliability, Thales Optronics now includes systems that examine the state of its equipment. The aim of this paper is to use hidden Markov Model to detect…
Random coefficients bifurcating autoregressive processes
Benoîte de Saporta, Anne Gégout-Petit, Laurence Marsalle
This paper presents a model of asymmetric bifurcating autoregressive process with random coefficients. We couple this model with a Galton Watson tree to take into account possibly…
Nonparametric estimation of the conditional distribution of the inter-jumping times for piecewise-deterministic Markov processes
Romain Azaïs, François Dufour, Anne Gégout-Petit
This paper presents a nonparametric method for estimating the conditional density associated to the jump rate of a piecewise-deterministic Markov process. In our framework, the est…
Nonparametric estimation of the jump rate for non-homogeneous marked renewal processes
Romain Azaïs, François Dufour, Anne Gégout-Petit
This paper is devoted to the nonparametric estimation of the jump rate and the cumulative rate for a general class of non-homogeneous marked renewal processes, defined on a separab…
Asymmetry tests for Bifurcating Auto-Regressive Processes with missing data
Benoîte de Saporta, Anne Gégout-Petit, Laurence Marsalle
We present symmetry tests for bifurcating autoregressive processes (BAR) when some data are missing. BAR processes typically model cell division data. Each cell can be of one of tw…
Parameters estimation for asymmetric bifurcating autoregressive processes with missing data
Benoîte de Saporta, Anne Gégout-Petit, Laurence Marsalle
We estimate the unknown parameters of an asymmetric bifurcating autoregressive process (BAR) when some of the data are missing. In this aim, we model the observed data by a two-typ…
Likelihood for generally coarsened observations from multi-state or counting process models
Daniel Commenges, Anne Gégout-Petit
We consider first the mixed discrete-continuous scheme of observation in multistate models; this is a classical pattern in epidemiology because very often clinical status is assess…