Identification of Semiparametric Binary Response Models: Sampling Theory and Bayesian Approaches Compared

Michel Mouchart (), Jean-Marie Rolin and Eliana Scheihing ()
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Michel Mouchart: Université Catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences
Jean-Marie Rolin: Université Catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences
Eliana Scheihing: Universidad Austral de Chile, Instituto de Informatica

Chapter Chapter 14 in Nonparametric Bayesian Inference, 2024, pp 341-363 from Springer

Abstract: Abstract This chapter compares minimal conditions under which a semiparametric binary response model is identified in a sampling theory and in a Bayesian framework. The impact of different forms of prior specification is explored by means of some numerical experiments.

Date: 2024
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DOI: 10.1007/978-3-031-61329-6_14

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