Survey Methods Section Presidential Invited Address: Empirical Likelihood in Survey Sampling

Survey Methods Section Presidential Invited Address: Empirical Likelihood in Survey Sampling
Organizer and Chair: David Haziza (Université de Montréal)

CHANGBAO WU, University of Waterloo Empirical Likelihood in Survey Sampling [PDF]: We provide an overview of the recent developments of empirical likelihood (EL) methods in survey sampling. We start with the basic formulation of EL functions for non-stratified and stratified sampling designs, and then discuss a few extensions, including EL for multiple frame surveys and EL-based Bayesian approach for complex survey data. Computational algorithms will be described, and some related topics, such as EL-based calibration and ranking methods, bootstrap procedures, EL and estimating equations, EL-based model selection using survey data, and EL for small area estimation, will also be briefly discussed.