• Stan

  • Referenced in 195 articles [sw10200]
  • Stan: A C++ Library for Probability and Sampling. Stan is a probabilistic programming language implementing ... penalized maximum likelihood estimation with Optimization (BFGS). Stan is coded in C++ and runs...
  • RStan

  • Referenced in 58 articles [sw13990]
  • RStan: the R interface to Stan. rstan: User-facing R functions are provided by this ... parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library ... provided by the ’StanHeaders’ package. The Stan project develops a probabilistic programming language that implements...
  • STAN

  • Referenced in 38 articles [sw03348]
  • STAN is a domain-independent planner developed within the Strathclyde Planning Group. It has been ... version 4. The original version of STAN, based on Graphplan, competed in the first international ... AIPS’98 and demonstrated interesting performance. STAN extended basic Graphplan in several ways, including exploiting ... plan-graph structure reaches a stable state. STAN has also always exploited a parallel domain...
  • rstan

  • Referenced in 28 articles [sw16103]
  • parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library ... provided by the ’StanHeaders’ package. The Stan project develops a probabilistic programming language that implements...
  • ADVI

  • Referenced in 26 articles [sw34040]
  • Automatic Variational Inference in Stan. Variational inference is a scalable technique for approximate Bayesian inference ... variational objective. We implement ADVI in Stan (code available now), a probabilistic programming framework ... inference on any model we write in Stan...
  • brms

  • Referenced in 22 articles [sw19099]
  • package brms. brms: Bayesian Regression Models using Stan. Fit Bayesian generalized (non-)linear multilevel models ... using Stan for full Bayesian inference. A wide range of distributions and link functions...
  • rstanarm

  • Referenced in 19 articles [sw15609]
  • package rstanarm: Bayesian Applied Regression Modeling via Stan. Estimates pre-compiled regression models using ... which provides the R interface to the Stan C++ library for Bayesian estimation. Users specify...
  • Kokkos

  • Referenced in 18 articles [sw20455]
  • styles by others, including Sikandar Mashayak (UIUC), Stan Moore (Sandia), and Ray Shan (Sandia...
  • FastDTW

  • Referenced in 15 articles [sw22574]
  • time and memory complexity. Stan Salvador, and Philip Chan. “FastDTW: Toward accurate dynamic time warping...
  • Stan Math

  • Referenced in 6 articles [sw36869]
  • Stan Math Library: Reverse-Mode Automatic Differentiation in C++. As computational challenges in optimization ... that remove the implementation burden entirely. The Stan Math Library is a C++, reverse-mode...
  • PyStan

  • Referenced in 6 articles [sw23384]
  • PyStan: The Python Interface to Stan. PyStan provides an interface to Stan, a package...
  • shinystan

  • Referenced in 8 articles [sw16707]
  • programming language (and has extended functionality for Stan models fit using the rstan and rstanarm...
  • bridgesampling

  • Referenced in 8 articles [sw21804]
  • fashion. For models implemented in Stan, the estimation procedure is automatic. We illustrate the functionality...
  • AltAlt

  • Referenced in 7 articles [sw20691]
  • state of the art planning systems, STAN a Graphplan-style planner...
  • xtserial

  • Referenced in 7 articles [sw37343]
  • linear panel-data models biases the stan- dard errors and causes the results...
  • bayesplot

  • Referenced in 5 articles [sw17769]
  • particularly (but not exclusively) packages interfacing with Stan...
  • STAN

  • Referenced in 2 articles [sw38676]
  • Material Flow Analysis with Software STAN. STAN (short for subSTance flow ANalysis) is a free ... data uncertainties. The main idea behind STAN is the combination of all necessary features ... results. The benefits of the application of STAN are demonstrated on the example...
  • Yaps

  • Referenced in 1 article [sw27076]
  • Yaps: Python Frontend to Stan. Stan is a popular probabilistic programming language with a self ... graphical models. Unfortunately, existing embeddings of Stan in Python use multi-line strings. That approach ... highlighting or simple error reporting within the Stan code. This paper tackles the question ... whether Stan could use Python syntax while retaining its self-contained semantics. The answer...
  • edstan

  • Referenced in 1 article [sw36573]
  • package edstan: Stan Models for Item Response Theory. Provides convenience functions and pre-programmed Stan ... fitting common item response theory models using Stan easy...