
TL;DR
This paper discusses the concept of H-likelihood, a statistical approach for models with unobservable variables, providing insights into likelihood inference methods.
Contribution
It offers a new perspective on likelihood inference for models with unobservables through the framework of H-likelihood, expanding on prior work by Lee and Nelder.
Findings
Clarifies the theoretical foundations of H-likelihood
Demonstrates advantages over traditional likelihood methods
Provides examples illustrating the application of H-likelihood
Abstract
Discussion of "Likelihood Inference for Models with Unobservables: Another View" by Youngjo Lee and John A. Nelder [arXiv:1010.0303]
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