Explores the asymptotic behavior of parameter estimates in linear mixed models, focusing on the loglikelihood as a quadratic form in Gaussian variables.
A technical discussion on the 'fourth-root' condition for estimator consistency in statistical models like GEE, exploring asymptotic theory and nuisance parameters.
Explores statistical efficiency of estimators in nearly-true regression models under two-phase sampling, focusing on local asymptotic minimax theory.
A statistical analysis comparing large and small model estimators, focusing on efficiency and misspecification testing in regression contexts.
Explores Hodges' estimator and extensions for asymptotic efficiency in statistical estimation, comparing them to the sample mean.
A philosophical and technical exploration of the practical meaning of measurability in mathematical statistics, questioning its necessity for real-world data analysis.
