Control Functionals

Implementation of the control functional method for computing Bayesian posterior integrals

Versión 1.3.0.0 (16,2 KB)
93 Descargas
(3)
15 mar 2017

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This is a compact implementation of the "control functional" method for Monte Carlo integration proposed in Oates, Chopin and Girolami, Journal of the Royal Statistical Society, Series B, 2017. The basic idea is that gradient information on the posterior distribution in Bayesian statistics can be used to better estimate integrals with respect to the posterior, via Stein's method.

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Chris Oates (2026). Control Functionals (https://la.mathworks.com/matlabcentral/fileexchange/61755-control-functionals), MATLAB Central File Exchange. Recuperado .

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Versión Publicado Notas de la versión
1.3.0.0

Fixed a typo in the pre-amble.
Now works in dimension d = 1,2,3 or 4.
1.2.0.0

Improved the example usage in the pre-amble so that it generalises to d = 2,3.
Fixed the numerical regulariser to match the method given in the paper. Thanks to Min Hyung Kang!
1.1.0.0

In version 1.0 the likelihood function was incorrect. The wrong covariance matrix was used. This is now fixed.
1.0.0.0

Renamed zip folder
Included description of the main function.