Discussion on “The central role of the identifying assumption in population size estimation” by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield

Author:

King Ruth1ORCID,McCrea Rachel2ORCID,Overstall Antony3

Affiliation:

1. School of Mathematics and Maxwell Institute, University of Edinburgh , Edinburgh EH9 3FD , United Kingdom

2. Department of Mathematics and Statistics, Lancaster University , Lancaster LA1 4YF , United Kingdom

3. School of Mathematical Sciences, University of Southampton , Highfield, Southampton SO17 1BJ , United Kingdom

Abstract

ABSTRACT In this discussion response, we consider some practical implications of the authors’ consideration of the no-highest-order interaction (NHOI) model for multiple systems estimation, which permits the authors to derive the explicit (albeit untestable) identifying assumption related to the unobserved (or missing) individuals. In particular, we discuss several aspects, from the standard process of model selection to potential poor predictive performance due to over-fitting and the implications of data reduction. We discuss these aspects in relation to the case study presented by the authors relating to the number of civilian casualties within the Kosovo war, and conduct further preliminary simulations to investigate these issues further. The results suggest that the NHOI models considered, despite having a potentially useful theoretical result in relation to the underlying identifying assumption, may perform poorly in practice.

Publisher

Oxford University Press (OUP)

Reference10 articles.

1. Model selection: An integral part of inference;Buckland;Biometrics,1997

2. Multiple systems estimation for sparse capture data: Inferential challenges when there are non-overlapping lists;Chan;Journal of the American Statistical Association,2021

3. Maximum likelihood estimation in log-linear models;Fienberg;The Annals of Statistics,2012

4. Bayesian model averaging: A tutorial;Hoeting;Statistical Science,1999

5. Capture-recapture methodology in epidemiology: Methods and limitations;Hook;Epidemiological Reviews,1995

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