20 citations · 86 across the 21 of their papers we have counts for
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math.ST2008★ 3 cited
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…
stat.ME2008★ 1 cited
Estimating a difference between Kullback-Leibler risks by a normalized difference of AIC
D. Commenges, A. Sayyareh, L. Letenneur +2
AIC is commonly used for model selection but the precise value of AIC has no direct interpretation. We are interested in quantifying a difference of risks between two models. This…
math.ST2008★ 20 cited
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…