Identification of Semiparametric Binary Response Models: Sampling Theory and Bayesian Approaches Compared
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. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Más información
| Título de la Revista: | Nonparametric Bayesian Inference: Contributions by Jean-Marie Rolin |
| Editorial: | Springer Nature |
| Fecha de publicación: | 2024 |
| Página de inicio: | 341 |
| Página final: | 363 |
| Idioma: | English |
| DOI: |
10.1007/978-3-031-61329-6_14 |