20 citations · 86 across the 21 of their papers we have counts for
11 papers · 1 filter
Information Theory and Statistics: an overview
Daniel Commenges
We give an overview of the role of information theory in statistics, and particularly in biostatistics. We recall the basic quantities in information theory; entropy, cross-entropy…
Inference with penalized likelihood
Daniel Commenges, Jérémie Bureau, Hein Putter
This work studies the statistical properties of the maximum penalized likelihood approach in a semi-parametric framework. We recall the penalized likelihood approach for estimating…
A universal approximate cross-validation criterion and its asymptotic distribution
Daniel Commenges, Cécile Proust-Lima, Cécilia Samieri +1
A general framework is that the estimators of a distribution are obtained by minimizing a function (the estimating function) and they are assessed through another function (the ass…
The stochastic system approach to causality with a view toward lifecourse epidemiology
Daniel Commenges
The approach of causality based on physical laws and systems is revisited. The issue of "levels", the relevance to epidemiology and the definition of effects are particularly devel…
Inference in HIV dynamics models via hierarchical likelihood
D. Commenges, D. Jolly, H. Putter +1
HIV dynamical models are often based on non-linear systems of ordinary differential equations (ODE), which do not have analytical solution. Introducing random effects in such model…
Statistical models, likelihood, penalized likelihood and hierarchical likelihood
Daniel Commenges
We give an overview of statistical models and likelihood, together with two of its variants: penalized and hierarchical likelihood. The Kullback-Leibler divergence is referred to r…