Bayesian hierarchical models
Romano, Martina (A.A. 2024/2025) Bayesian hierarchical models. Tesi di Laurea in Advanced statistics, Luiss Guido Carli, relatore Marta Catalano, pp. 65. [Master's Degree Thesis]
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Abstract/Index
Foundations of Bayesian hierarchical models. Introduction to hierarchical models. Building hierarchical models. Bayesian inference in hierarchical models. Computational methods: Gibbs sampling. Convergence diagnostics. Hierarchical bayes in marketing: a logit case study. Introduction and motivation. The credit card case study (Allenby et al., 2005). The hierarchical logit model. Gibbs sampler for the hierarchical logit model. Implementation and reproduction of results. Discussion. Hierarchical logit on e-commerce data.
References
Bibliografia: p. 65.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91) |
| Chair: | Advanced statistics |
| Thesis Supervisor: | Catalano, Marta |
| Thesis Co-Supervisor: | Sinaimeri, Blerina |
| Academic Year: | 2024/2025 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 24 Oct 2025 12:42 |
| Last Modified: | 24 Oct 2025 12:42 |
| URI: | https://tesi.luiss.it/id/eprint/43547 |
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