1 citations · 1 across the 3 of their papers we have counts for
4 papers
Split Sample Empirical Likelihood
Adam Jaeger, Nicole Lazar
We propose a new approach that combines multiple non-parametric likelihood-type components to build a data-driven approximation of the true likelihood function. Our approach is bui…
Piecewise Empirical Likelihood
Adam Jaeger, Nicole Lazar
Non-parametric methods avoid the problem of having to specify a particular data generating mechanism, but can be computationally intensive, reducing their accessibility for large d…
Computation of Two and Three Dimensional Confidence Regions with the Likelihood Ratio
Adam Jaeger
The asymptotic results pertaining to the distribution of the log likelihood ratio allow for the creation of a confidence region, which is a general extension of the confidence inte…
Composite Empirical Likelihood
Adam Jaeger, Nicole Lazar
The likelihood function plays a pivotal role in statistical inference; it is adaptable to a wide range of models and the resultant estimators are known to have good properties. How…