BookSection SCOPUS
Nonparametric Bayesian Inference: Contributions by Jean-Marie Rolin  (2024)

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

Mouchart, Michel; Rolin Jean-Marie; Scheihing, Eliana; Florens, Jean Pierre; Mouchart, Michel

Abstract

This chapter compares minimal conditions under which a semiparametric binary response model is identified in a sampling theory and in a Bayesian framework.Theimpactofdifferentformsofpriorspecificationisexploredbymeans of some numerical experiments.

Más información

Título según SCOPUS: Identification of Semiparametric Binary Response Models: Sampling Theory and Bayesian Approaches Compared
Título de la Revista: Nonparametric Bayesian Inference: Contributions by Jean-Marie Rolin
Editorial: Springer Nature
Fecha de publicación: 2024
Página final: 363
Idioma: English
DOI:

10.1007/978-3-031-61329-6_14
Notas: SCOPUS