We are thrilled to announce that StanCon 2026 will take place in Uppsala, Sweden, from August 17th to August 21st, 2026.The conference brings together researchers and practitioners passionate about Bayesian inference and probabilistic programming in one of Sweden’s most historic and vibrant university cities. Attendees will enjoy a week of conference talks, workshops, and tutorials … Continue reading StanCon 2026, Uppsala, Sweden
Release of CmdStan 2.37
We are very happy to announce that the 2.37.0 release of CmdStan is now available on Github! As usual, the release of CmdStan is accompanied by new releases of Stan Math, core Stan, and Stanc3. This release cycle brings improvements to Stan's constrained types, quality-of-life improvements to CmdStan, and many stability improvements and bug fixes. … Continue reading Release of CmdStan 2.37
Release of CmdStan 2.36
We are very happy to announce that the 2.36.0 release of CmdStan is now available on Github! As usual, the release of CmdStan is accompanied by new releases of Stan Math, core Stan, and Stanc3. This release cycle brings new constrained types, improved diagnostics, and a new distribution for heavy-tailed count data. Contributors, sponsors and … Continue reading Release of CmdStan 2.36
From sampling statement to distribution statement
The sampling statement name for tilde (~) statements in Stan documentation has been replaced with distribution statement. The background is the tilde (~) statement does not do any sampling (but due to the sampling statement name, some people had wrongly assumed so, which caused confusion) in the literature, tilde (~) is usually read “is distributed … Continue reading From sampling statement to distribution statement
Release of CmdStan 2.35
We are very happy to announce that the 2.35.0 release of CmdStan is now available on Github! As usual, the release of CmdStan is accompanied by new releases of Stan Math, core Stan, and Stanc3. A PyStan update will follow shortly. This release cycle focused on fixing bugs and adding quality of life improvements to … Continue reading Release of CmdStan 2.35
Release of CmdStan 2.34
We are very happy to announce that the 2.34.0 release of CmdStan is now available on GitHub! As usual, the release of CmdStan is accompanied by new releases of Stan Math, core Stan, and Stanc3. A PyStan update will follow shortly. This new release brings several improvements to the headline features of the last release … Continue reading Release of CmdStan 2.34
Release of CmdStan 2.33
We are very happy to announce that the 2.33.0 release of CmdStan is now available on GitHub! As usual, the release of CmdStan is accompanied by new releases of Stan Math, core Stan, and Stanc3. A PyStan update will follow shortly. This new release brings two new exciting features that have been in the making … Continue reading Release of CmdStan 2.33
Release of CmdStan 2.32
We are very happy to announce that the 2.32.0 release of CmdStan is now available on Github! As usual, the release of CmdStan is accompanied by new releases of Stan Math, core Stan, and Stanc3. A PyStan update will follow shortly. This new release brings Laplace approximation, the Jacobian adjustment for the optimization algorithms, more … Continue reading Release of CmdStan 2.32
Release of CmdStan 2.31
We are very happy to announce that the 2.31.0 release of CmdStan is now available on Github! As usual, the release of CmdStan is accompanied by new releases of Stan Math, core Stan, and Stanc3. A PyStan update will follow shortly. This new release brings algebraic solver functions with variadic arguments, truncation syntax for vectorized … Continue reading Release of CmdStan 2.31
Options for improving Stan sampling speed
In this blog post, I (Aki) discuss different optimizations that can speed up Stan sampling. I approach this from the user viewpoint, and you can thank numerous (10+) Stan developers for many of the speed-ups mentioned below. The speed-ups have required hard work from developers working on Stan core C++/OCaml (big part of Stan is … Continue reading Options for improving Stan sampling speed
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