• Stan

  • Referenced in 297 articles [sw10200]
  • Bayesian statistical inference with MCMC sampling (NUTS, HMC) and penalized maximum likelihood estimation with Optimization...
  • GSHMC

  • Referenced in 16 articles [sw02631]
  • molecular simulation. The hybrid Monte Carlo (HMC) method is a popular and rigorous method ... sampling from a canonical ensemble. The HMC method is based on classical molecular dynamics simulations ... momentum resampling step. While the HMC method completely resamples the momentum after each Monte Carlo...
  • HMC

  • Referenced in 7 articles [sw09867]
  • HMC: Verifying functional programs using abstract interpreters. We present Hindley-Milner-Cousots (HMC), an algorithm ... interprocedural analysis for first-order imperative programs. HMC works as follows. First, it uses ... discharge the invariant. We have implemented HMC and describe preliminary experimental results using two imperative ... state-based reasoning grounded in abstract interpretation, HMC enables the fully automatic verification of programs...
  • MLML

  • Referenced in 1 article [sw30173]
  • methylcytosine (5-mC) and 5-hydroxymethylcytosine (5-hmC), coexist with each other in a range ... evidence points to important roles of 5-hmC in demethylation of 5-mC and epigenomic ... direct single-base profiling of either 5-hmC or 5-mC. Meaningful analyses seem ... inconsistent estimates of 5-mC or 5-hmC levels. Results: We present a method...
  • GRIMS

  • Referenced in 1 article [sw06317]
  • some variations on Hamiltonian Monte Carlo (HMC), as mentioned in my review paper ... HMC...
  • AdvancedHMC.jl

  • Referenced in 1 article [sw42278]
  • robust, modular and efficient implementation of advanced HMC algorithms. Stan’s Hamilton Monte Carlo ... HMC) has demonstrated remarkable sampling robustness and efficiency in a wide range of Bayesian inference...
  • ZhuSuan

  • Referenced in 1 article [sw27939]
  • models, with programmable proposals. Hamiltonian Monte Carlo (HMC) with parallel chains, and optional automatic parameter...
  • MLML2R

  • Referenced in 1 article [sw30172]
  • proportions of 5-mC and 5-hmC in the DNA using information from BS-conversion...
  • BLNN

  • Referenced in 1 article [sw32579]
  • BLNN offers users Hamiltonian Monte Carlo (HMC) and No-U-Turn (NUTS) sampling algorithms with...
  • pyhmc

  • Referenced in 1 article [sw38977]
  • Hamiltonian Monte Carlo or Hybrid Monte Carlo (HMC) is a Markov chain Monte Carlo (MCMC...
  • MapReduce

  • Referenced in 263 articles [sw00546]
  • MapReduce is a new parallel programming model initially...
  • R

  • Referenced in 9969 articles [sw00771]
  • R is a language and environment for statistical...
  • RANLUX

  • Referenced in 56 articles [sw00778]
  • RANLUX: a Fortran implementation of the high-quality...
  • tmLQCD

  • Referenced in 6 articles [sw00969]
  • tmLQCD: a program suite to simulate Wilson Twisted...
  • CUDA

  • Referenced in 1325 articles [sw03258]
  • The NVIDIA® CUDA® Toolkit provides a comprehensive development...
  • UCI-ml

  • Referenced in 3403 articles [sw04074]
  • UC Irvine Machine Learning Repository. We currently maintain...
  • CODA

  • Referenced in 355 articles [sw04290]
  • R package coda: Output analysis and diagnostics for...
  • FEniCS

  • Referenced in 840 articles [sw04314]
  • The FEniCS Project is a collaborative project for...
  • fda (R)

  • Referenced in 1531 articles [sw04511]
  • fda: Functional Data Analysis , These functions were developed...
  • OpenCL

  • Referenced in 232 articles [sw07060]
  • OpenCL™ is the first open, royalty-free standard...