GPstuff

Gaussian process models for Bayesian analysis
1.1K Downloads
Updated 30 Dec 2022

The GPstuff toolbox is a versatile collection of Gaussian process models and computational tools required for inference. The tools include, among others, various inference methods, sparse approximations and model assessment methods.

Cite As

Aki Vehtari (2024). GPstuff (https://github.com/gpstuff-dev/gpstuff), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2009b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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diag

dist

gp

gp/private

mc

mc/private

misc

optim

tests

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
4.6.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.