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Do we need an integrated Bayesian/likelihood inference?
Columbia University Universite Paris-Dauphine, IUF, and CREST CREST-ENSAE, and Universite Paris-Dauphine
2010/12/17
Murray Aitkin's recent book, Statistical Inference, presents an approach to statistical hypothesis testing based on comparisons of posterior distributions of likelihoods under competing models. The au...
Rejoinder: Likelihood Inference for Models with Unobservables Another View
Rejoinder Likelihood Inference Models Unobservables Another View
2010/10/15
First we should like to thank the editor for allowing us to respond to interesting discussions from the discussants,Molenberghs, Kenward and Verbeke (MKV), Louis and Meng, for the effort they have put...
Discussion of Likelihood Inference for Models with Unobservables: Another View
Discussion Likelihood Inference Models Unobservables Another View
2010/10/15
Lee and Nelder identify important issues and provide excellent advice and warnings associated with inferences and interpretations for models with unobserved, latent variables (random effects). Their d...
Likelihood Inference for Models with Unobservables: Another View
Hierarchical generalized linear model unobservables random effects likelihood
2010/10/14
There have been controversies among statisticians on (i) what to model and (ii) how to make inferences from models with unobservables. One such controversy concerns the difference between estimation ...
EMPIRICAL LIKELIHOOD INFERENCE FOR SURVIVAL RATE REGRESSION WITH MISSING INFORMATION PRINCIPLE
Confidence region conditional Kaplan–Meier estimator link function right censoring
2009/9/18
Recently, regression model for the long-term survival probabilities
of patients was proposed, and a semiparametric inference procedure
was developed based on missing information principle. In this p...
Likelihood inference in exponential families and directions of recession
exponential family existence of maximum likelihood estimate BarndorffNielsen completion
2009/9/16
When in a full exponential family the maximum likelihood estimate (MLE) does not exist, the MLE may exist in the Barndorff-Nielsen completion of the family. We propose a practical algorithm for findin...
Likelihood Inference in Exponential Families and Directions of Recession
exponential family existence of maximum likelihood estimate Barndorff-Nielsen completion
2010/3/17
When in a full exponential family the maximum likelihood estimate
(MLE) does not exist, the MLE may exist in the Barndorff-Nielsen
completion of the family. We propose a practical algorithm for find...
Profile-Kernel likelihood inference with diverging number of parameters
Generalized linear models varying coefficients high dimensionality asymptotic normality profile likelihood generalized likelihood ratio tests
2010/4/26
The generalized varying coefficient partially linear model with growing
number of predictors arises in many contemporary scientific endeavor. In
this paper we set foot on both theoretical and practi...