Code for "A First Course in Bayesian Statistical Methods"

Matlab Code for Peter Hoff "A First Course in Bayesian Statistical Methods"
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Actualizado 8 nov 2019

Matlab Code for Peter Hoff "A First Course in Bayesian Statistical Methods"

Matlab codes are provided for most examples starting from Chapter 3. The codes were written and tested in Matlab 2018b, and should be compatible with later Matlab versions. Statistics and Machine Learning Toolbox is required.

Some examples require the following toolbox or files from Matlab Central File Exchange

* autocorr.m requires Matlab's Econometrics Toolbox
* multiESS.m https://github.com/lacerbi/multiESS
* OrdinalRankings.m https://www.mathworks.com/matlabcentral/fileexchange/19496-rankings
* gendist.m https://www.mathworks.com/matlabcentral/fileexchange/34101-random-numbers-from-a-discrete-distribution

Reference: Peter D. Hoff, A First Course in Bayesian Statistical Methods, Springer (2009)

Use this software at your own risk.

Citar como

Newport Quantitative (2024). Code for "A First Course in Bayesian Statistical Methods" (https://github.com/newportquant/Matlab-Code-for-Peter-Hoff-A-First-Course-in-Bayesian-Statistical-Methods-), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2018b
Compatible con cualquier versión
Compatibilidad con las plataformas
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1.0.1

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