In this summary we introduce the papers published in the special issue on Bayesian statistics. This special issue comprises 20 papers on Bayesian statistics and Bayesian inference on different topics such as general packages for hierarchical linear model fitting, survival models, clinical trials, missing values, time series, hypothesis testing, priors, approximate Bayesian computation, and others.

(2021). Software for Bayesian Statistics [journal article - articolo]. In JOURNAL OF STATISTICAL SOFTWARE. Retrieved from http://hdl.handle.net/10446/198828

Software for Bayesian Statistics

Cameletti, Michela;
2021-01-01

Abstract

In this summary we introduce the papers published in the special issue on Bayesian statistics. This special issue comprises 20 papers on Bayesian statistics and Bayesian inference on different topics such as general packages for hierarchical linear model fitting, survival models, clinical trials, missing values, time series, hypothesis testing, priors, approximate Bayesian computation, and others.
articolo
2021
Cameletti, Michela; Gómez-Rubio, Virgilio
(2021). Software for Bayesian Statistics [journal article - articolo]. In JOURNAL OF STATISTICAL SOFTWARE. Retrieved from http://hdl.handle.net/10446/198828
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/198828
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