Bayesian Linear Models: A compact general set of results

Autor:	Christen, J Andres
Rok vydání:	2024
Předmět:	Statistics - Methodology 62F15
Druh dokumentu:	Working Paper
Popis:	I present all the details in calculating the posterior distribution of the conjugate Normal-Gamma prior in Bayesian Linear Models (BLM), including correlated observations, prediction, model selection and comments on efficient numeric implementations. A Python implementation is also presented. These have been presented and available in many books and texts but, I believe, a general compact and simple presentation is always welcome and not always simple to find. Since correlated observations are also included, these results may also be useful for time series analysis and spacial statistics. Other particular cases presented include regression, Gaussian processes and Bayesian Dynamic Models. Comment: 13 pages, 4 figures, Python implementation
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2406.01819 Zobrazit plný text záznamu View this record from Arxiv