Empirical likelihood provides inferences whose validity does not depend on specifying a parametric model for the data. Because it uses a likelihood, the method has certain inherent advantages over resampling methods: it uses the data to determine the shape of the confidence regions, and it makes it easy to combined data from multiple sources. It al

chapter 1|6 pages


chapter 2|22 pages

Empirical likelihood

chapter 3|50 pages

EL for random vectors

chapter 4|32 pages

Regression and modeling

chapter 5|16 pages

Empirical likelihood and smoothing

chapter 6|28 pages

Biased and incomplete samples

chapter 7|8 pages

Bands for distributions

chapter 8|22 pages

Dependent data

chapter 9|16 pages

Hybrids and connections

chapter 10|16 pages

Challenges for EL

chapter 11|12 pages

Some proofs

chapter 12|20 pages


chapter 13|12 pages

Higher order asymptotics