Stan will be well-represented at NIPS2015. Come see a talk or let us know about any cool projects involving Stan and you might even score a free sticker!
Mon Dec 7th 07:00 - 11:59 PM: Dustin Tran will present a poster (#37) on new variational inference methods in Room 210C.
Tue Dec 8th 03:30 - 04:00 PM: Alp Kucukelbir will speak about Automatic Variational Inference in Stan in Room 210A.
Tue Dec 8th 07:00 - 11:59 PM: Alp will also present a corresponding poster (#34) in Room 210C.
Workshop on Adaptive Data Analysis | Friday 11 December
04:30 - 5:00 PM: Andrew Gelman will speak about reproducibility.
Advances in Approximate Bayesian Inference | Friday 11 December
09:15 - 10:00 AM: Alp and Michael Betancourt will be on the Tricks of the Trade panel.
04:55 - 06:00 PM: Andrew will be on the Foundations and Future of Approximate Inference panel.
Scalable Monte Carlo | Saturday 12 December
09:00 - 09:40 AM: Andrew will speak about his Adventures on the Efficient Frontier.
2:40 - 3:30 PM: Michael will be on the panel.
Black Box Learning and Inference | Saturday 12 December
10:50 - 11:35 AM: Michael will speak about Stan during the language spotlight session.
11:35 AM - 12:20 PM: Michael will be on the languages panel.
2:52 - 3:15 PM: Alp will speak about automatic differentiation variational inference.
3:15 - 3:37 PM: Dustin will speak about recent advances in variational inference.
CmdStan 2.9.0 is released and ready to download.
ADVI data subsampling lives in an unsupported/untested branch. See instructions here.
develop branch of RStan is up to date with Stan 2.9.0.
To install RStan 2.8.2, first follow the instructions here.
Then use the following commands to start using the
if(!require(devtools)) install.packages("devtools") if(!require(devtools)) install.packages("git2r") path_rstan <- tempfile(pattern = "git2r-") dir.create(path_rstan) # requires recent version of R; may work without this line git2r::clone("http://github.com/stan-dev/rstan", path_rstan, branch = "develop") git2r::clone("http://github.com/stan-dev/stan", file.path(path_rstan, "StanHeaders", "inst", "include", "upstream"), branch = "master") git2r::clone("http://github.com/stan-dev/math", file.path(path_rstan, "StanHeaders", "inst", "include", "mathlib"), branch = "master") devtools::install(file.path(path_rstan, "StanHeaders")) devtools::install(file.path(path_rstan, "rstan", "rstan")) library(rstan) args(vb) devtools::install_github("stan-dev/rstanarm", local = FALSE) library(rstanarm) args(stan_glmer)
Stan.jl, MatlabStan, and StataStan
See the interfaces page for more details!