Rejoinder: Likelihood Inference for Models with Unobservables Another View

TL;DR

This paper discusses likelihood inference methods for models with unobserved variables, providing a different perspective on existing approaches and addressing ongoing debates in the statistical modeling community.

Contribution

It offers a novel viewpoint on likelihood inference for models with unobservables, expanding the theoretical understanding and addressing limitations of previous methods.

Findings

Clarifies the theoretical foundations of likelihood inference with unobservables

Proposes alternative approaches to existing methods

Highlights implications for statistical modeling practices

Abstract

Rejoinder to "Likelihood Inference for Models with Unobservables: Another View" by Youngjo Lee and John A. Nelder [arXiv:1010.0303]