• GMRFLib

  • Referenced in 282 articles [sw06641]
  • complex hierarchical models, in which statistical inference is only possible using Markov Chain Monte Carlo ... aspects, construct fast and reliable algorithms for MCMC inference, and provide an online C-library...
  • pcalg

  • Referenced in 82 articles [sw06072]
  • Estimation of CPDAG/PAG and causal inference using the IDA algorithm , Standard and robust estimation ... Directed Acyclic Graph (DAG) via the PC-Algorithm. The equivalence class is represented ... estimating PAGs. Functions for causal inference using the IDA algorithm (based on do-calculus...
  • BLOG

  • Referenced in 41 articles [sw22025]
  • unbounded numbers of objects. Furthermore, complete inference algorithms exist for a large fragment...
  • ADVI

  • Referenced in 23 articles [sw34040]
  • approximate Bayesian inference. Deriving variational inference algorithms requires tedious model-specific calculations; this makes ... automate. We propose an automatic variational inference algorithm, automatic differentiation variational inference (ADVI). The user ... support a broad class of models. The algorithm automatically determines an appropriate variational family ... images. With ADVI we can use variational inference on any model we write in Stan...
  • CCured

  • Referenced in 24 articles [sw10057]
  • present a surprisingly simple type inference algorithm that is able to infer the appropriate pointer...
  • MultiNest

  • Referenced in 36 articles [sw10481]
  • MultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics. We present ... multimodal nested sampling algorithm, called MultiNest. This Bayesian inference tool calculates the evidence, with ... robustness, as compared to the original algorithm presented in Feroz & Hobson, which itself significantly outperformed ... astrophysical inference problems. The accuracy and economy of the MultiNest algorithm are demonstrated by application...
  • AS 122

  • Referenced in 21 articles [sw03819]
  • Algorithm AS 122. Weights for one-sided multivariate inference...
  • BayesTree

  • Referenced in 58 articles [sw07995]
  • fitting and inference are accomplished via an iterative Bayesian backfitting MCMC algorithm that generates samples ... ensemble methods in general, and boosting algorithms in particular, BART is defined by a statistical ... likelihood. This approach enables full posterior inference including point and interval estimates of the unknown...
  • FEMaLeCoP

  • Referenced in 12 articles [sw21179]
  • convincingly demonstrating that guiding the internal inference algorithms of theorem provers by knowledge learned from...
  • SPOOK

  • Referenced in 11 articles [sw12539]
  • compactly. We present a new inference algorithm that utilizes the model structure in a fundamental...
  • GPS-ABC

  • Referenced in 15 articles [sw16117]
  • number of simulations necessary for posterior inference. Both algorithms use confidence estimates for the accept...
  • OpenGM

  • Referenced in 7 articles [sw21186]
  • state-of-the-art optimization and inference algorithms beyond message passing. OpenGM handles large models ... efficiency. The graphical model data structure, inference algorithms and different encodings of functions inter-operate...
  • SynTReN

  • Referenced in 14 articles [sw12311]
  • learning algorithms. Background: The development of algorithms to infer the structure of gene regulatory networks ... subject in bioinformatics research. Validation of these algorithms requires benchmark data sets for which...
  • MJ

  • Referenced in 12 articles [sw24342]
  • extended calculus, detail an algorithm for inferring effects information and give a proof of correctness...
  • NETWORKINFERENCE

  • Referenced in 6 articles [sw06744]
  • testing the accuracy of network inference algorithms by applying them to biologically realistic simulations with ... ability of our Bayesian network inference algorithm, NETWORKINFERENCE, to recover gene regulatory networks. NETWORKINFERENCE performed ... elucidate the possibilities and limitations of network inference based on biological data...
  • LDPC

  • Referenced in 79 articles [sw03321]
  • decoding algorithm for LDPC codes is related to that used for Turbo codes ... probabilistic inference methods used in other fields. Variations on LDPC and Turbo codes are currently...
  • Infer.NET

  • Referenced in 28 articles [sw07886]
  • message-passing algorithms and statistical routines for performing Bayesian inference. It has applications...
  • Perracotta

  • Referenced in 6 articles [sw12087]
  • industrial scenarios. We describe our approximate inference algorithm, present and evaluate heuristics for winnowing...
  • PolyAML

  • Referenced in 4 articles [sw08950]
  • also comes equipped with a type inference algorithm that conservatively extends Hindley-Milner type inference ... aspect-oriented profiling or logging libraries, the algorithm ... blends the conventional Hindley-Milner type inference algorithm with a simple form of local type...
  • PyHawkes

  • Referenced in 6 articles [sw26587]
  • PyHawkes implements a variety of Bayesian inference algorithms for discovering latent network structure given point ... connected to one another. You might infer that there is an unobserved connection from...