Now here’s a foundation I (Bob) can get behind: Foundation for Open Access Statistics (FOAS) Their mission is to “promote free software, open access publishing, and reproducible research in statistics.” To me, that’s like supporting motherhood and apple pie! FOAS spun out of and is partially designed to support the Journal of Statistical Software (aka [...]The post Foundation for Open Access Statistics appeared first on Statistical Modeling, Causal Inference, and…
Xi’an’s Og (aka Christian Robert’s blog) is featuring a very nice presentation of NUTS by Marco Banterle, with discussion and some suggestions. I’m not even sure how they found Michael Betancourt’s paper on geometric NUTS ...
The Stan Development Team is happy to announce that Stan 1.3.0 and RStan 1.3.0 are available for download. Follow the links on: Stan home page: http://mc-stan.org/ Please let us know if you have problems updating. Here’s the full set of release notes. v1.3.0 (12 April 2013) ====================================================================== Enhancements ---------------------------------- Modeling Language * forward sampling (random [...]The post Stan 1.3.0 and RStan 1.3.0 Ready for Action appeared first on Statistical Modeling,…
Manoel Galdino wrote in a comment off-topic on another post (which I erased): I know you commented before about patents on statistical methods. Did you know this patent (http://www.archpatent.com/patents/8032473)? Do you have any comment on patents that don’t describe mathematically how it works and how and if they’re any different from previous methods? And what [...]
Stan 1.2.0 and RStan 1.2.0 are now available for download. See: http://mc-stan.org/ Here are the highlights. Full Mass Matrix Estimation during Warmup Yuanjun Gao, a first-year grad student here at Columbia (!), built a regularized mass-matrix estimator. This helps for posteriors with high correlation among parameters and varying scales. We’re still testing this ourselves, so [...]
Richard Van Noorden reports in Nature that 95% of the authors submitting to the Nature Publishing Group choose more restrictive open-source licenses, CC-BY-NC-SA or CC-BY-NC-ND, even when given the opportunity to use a much more open license, CC-BY. (I include their data below.) How open should papers be? Should authors own their work or should [...]
We’re happy to announce the availability of Stan and RStan versions 1.1.0, which are general tools for performing model-based Bayesian inference using the no-U-turn sampler, an adaptive form of Hamiltonian Monte Carlo. Information on downloading and installing and using them is available as always from Stan Home Page: http://mc-stan.org/ Let us know if you have [...]
Jonathan Goodman gave the departmental seminar yesterday (10 Dec 2012) and I was amused by an extended analogy he made. After his (very clear) intro, he said that math talks were like action movies. The overall theorem and its applications provide th...
If you need an excuse to go skiing in Tahoe next month, our paper on Stan as a probabilistic programming language was accepted for: Workshop on Probabilistic Programming NIPS 2012 7–8 December, 2012, Lake Tahoe, Nevada The workshop is organized by the folks behind the probabilistic programming language Church and has a great lineup of [...]
Stan 1.0.0 and RStan 1.0.0 It’s official. The Stan Development Team is happy to announce the first stable versions of Stan and RStan. What is (R)Stan? Stan is an open-source package for obtaining Bayesian inference using the No-U-Turn sampler, a variant of Hamiltonian Monte Carlo. It’s sort of like BUGS, but with a different language [...]
