• ElemStatLearn

  • Referenced in 1567 articles [sw11049]
  • book: ”The Elements of Statistical Learning, Data Mining, Inference, and Prediction” by Trevor Hastie, Robert...
  • GMRFLib

  • Referenced in 338 articles [sw06641]
  • complex hierarchical models, in which statistical inference is only possible using Markov Chain Monte Carlo ... construct fast and reliable algorithms for MCMC inference, and provide an online C-library ... ideal tool for researchers and students in statistics, particularly biostatistics and spatial statistics, as well ... ecology, introducing them to this powerful statistical inference method...
  • Stan

  • Referenced in 302 articles [sw10200]
  • probabilistic programming language implementing full Bayesian statistical inference with MCMC sampling (NUTS, HMC) and penalized...
  • RStan

  • Referenced in 87 articles [sw13990]
  • programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian...
  • CDVine

  • Referenced in 52 articles [sw08161]
  • package CDVine: Statistical inference of C- and D-vine copulas. This package provides functions ... statistical inference of canonical vine (C-vine) and D-vine copulas. It contains tools...
  • VineCopula

  • Referenced in 46 articles [sw08160]
  • VineCopula: Statistical inference of vine copulas. This package provides functions for statistical inference of vine...
  • rstan

  • Referenced in 55 articles [sw16103]
  • programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian...
  • pomp

  • Referenced in 47 articles [sw10664]
  • package pomp: Statistical Inference for Partially Observed Markov Processes. Tools for working with partially observed...
  • BUGS

  • Referenced in 382 articles [sw07885]
  • BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian ... analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods. The project began...
  • energy

  • Referenced in 93 articles [sw08072]
  • Energy statistics are functions of distances between statistical observations in metric spaces. Thus even ... valued nonnegative distances for inference. Theory and application of energy statistics are discussed and illustrated...
  • gRc

  • Referenced in 25 articles [sw06083]
  • Inference in Graphical Gaussian Models with Edge and Vertex Symmetries , Estimation ... model selection and other aspects of statistical inference in Graphical Gaussian models with edge...
  • ADMB

  • Referenced in 17 articles [sw07416]
  • model builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models. Many...
  • LOWESS

  • Referenced in 27 articles [sw08989]
  • long-tailed symmetric errors (robust fitting). Statistics for inference are not computed. S-Plus ... Cleveland. In Computer Science and Statistics: Eleventh Annual Symposium on the Interface, pages...
  • BartPy

  • Referenced in 99 articles [sw40584]
  • weak learner, and fitting and inference are accomplished via an iterative Bayesian backfitting MCMC algorithm ... statistical model: a prior and a likelihood. This approach enables full posterior inference including point...
  • OpenBUGS

  • Referenced in 81 articles [sw08316]
  • performing Bayesian inference Using Gibbs Sampling. The user specifies a statistical model, of (almost) arbitrary...
  • EigenPrism

  • Referenced in 15 articles [sw21947]
  • EigenPrism: inference for high dimensional signal-to-noise ratios. Consider ... following three important problems in statistical inference: constructing confidence intervals for the error...
  • grf

  • Referenced in 31 articles [sw27871]
  • pluggable package for forest-based statistical estimation and inference. GRF currently provides methods...
  • Mcmcpack

  • Referenced in 63 articles [sw07974]
  • perform Bayesian inference using posterior simulation for a number of statistical models. Most simulation...
  • PyClone

  • Referenced in 11 articles [sw26928]
  • PyClone: statistical inference of clonal population structure in cancer. We introduce PyClone, a statistical model...
  • RAxML

  • Referenced in 45 articles [sw07716]
  • phylogeny with maximum likelihood. Inference of large phylogenetic trees with statistical methods is computationally intensive ... demonstrated that RAxML outperforms the currently fastest statistical phylogeny programs (MrBayes, PHYML) in terms ... cluster. In addition, we use RAxML to infer a 10.000-taxon phylogenetic tree containing representative...