Bayesian linear regression with the horseshoe hierarchy

Version 1.21.0.0 (5,03 ko) par Statovic
This file implements Bayesian linear regression with the horseshoe hierarchy.
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Mise à jour 10 août 2017

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This file implements Bayesian linear regression with the horseshoe hierarchy using a simple Gibbs sampler.

References:
A simple sampler for Bayesian linear regression with the horseshoe hierarchy
E. Makalic and D. F. Schmidt,
arXiv:1508.03884 [stat.CO], 2015

The horseshoe estimator for sparse signals
C. M. Carvalho, N. G. Polson and J. G. Scott
Biometrika, Vol. 97, No. 2, pp. 465--480, 2010

NOTE: A new toolbox, baysreg, which implements Bayesian regularised linear and logistic regression is now available on MATLAB Central (File ID: #60823).

Citation pour cette source

Statovic (2024). Bayesian linear regression with the horseshoe hierarchy (https://www.mathworks.com/matlabcentral/fileexchange/52479-bayesian-linear-regression-with-the-horseshoe-hierarchy), MATLAB Central File Exchange. Récupéré le .

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Version Publié le Notes de version
1.21.0.0

- Updated description

1.2.0.0

- Updated description to include information on the new regularised regression toolbox
- Pre-compute X'*X for the fastmvg_rue routine. This results in speed improvements which are noticeable especially for large sample sizes
- Added an arXiv reference to the paper that describes the algorithm

1.1.0.0

-Much improved sampling of the conditional distribution for betas (implemented Rue's algorithm for n>p)
-Minor speed improvement in function fastmvg
-Cleaned up the help

1.0.0.0