• PhFit

  • Referenced in 25 articles [sw01789]
  • results in satisfactory fitting also for heavy-tail distributions. Moreover, PhFit allows the user...
  • GSM

  • Referenced in 19 articles [sw10497]
  • estimation of a mixture of gamma distributions in which the mixing occurs over the shape ... flexible and novel approach for modeling heavy-tailed distributions, it is computationally efficient...
  • EbayesThresh

  • Referenced in 17 articles [sw11103]
  • vector are modelled as having, independently, a distribution that is a mixture of an atom ... probability at zero and a suitable heavy-tailed distribution. The mixing parameter can be estimated...
  • poweRlaw

  • Referenced in 10 articles [sw19742]
  • Heavy Tailed Distributions: The poweRlaw Package. Over the last few years, the power law distribution ... techniques used to fit the power law distribution have been inappropriate. This paper describes ... makes fitting power laws and other heavy-tailed distributions straightforward. This package contains R functions...
  • Powerlaw

  • Referenced in 10 articles [sw29150]
  • Python package for analysis of heavy-tailed distributions. Power laws are theoretically interesting probability distributions...
  • LambertW

  • Referenced in 13 articles [sw06066]
  • generalized way to analyze skewed, heavy-tailed data. Lambert W random variables (RV) are based ... input is a RV X with distribution F(x), and the output Y = func ... heavy-tailed). Then this transformed RV Y has a Lambert W x F distribution ... Lambert W analysis of skewed and heavy-tailed data: data can be simulated, parameters...
  • heavy

  • Referenced in 4 articles [sw13216]
  • heavy: Package for robust estimation using heavy-tailed distributions. This package contains functions to perform ... robust estimation considering heavy-tailed distributions. Currently, the package includes linear regression, linear mixed-effect...
  • NAGSAT

  • Referenced in 4 articles [sw11453]
  • distributed search paradigm. Nagging exploits the heavy-tailed distribution of 3-SAT solution time...
  • L2P

  • Referenced in 2 articles [sw36456]
  • sponse) variables that have characteristic heavy-tail distributions. Examples include copies of books sold, auction ... pieces, etc. By learning heavy-tailed distributions, “big and rare” instances (e.g., the best-sellers ... approaches are not dedicated to learning heavy-tailed distribution; thus, they heavily under-predict such ... accuracy and capability to reproduce heavy-tailed outcome distribution. In addition, L2P can provide...
  • FarmTest

  • Referenced in 7 articles [sw31555]
  • that are robust against heavy-tailed and/or asymetric error distributions. Extensions to two-sample simultaneous...
  • PartCensReg

  • Referenced in 2 articles [sw38438]
  • Linear Censored Regression Models Based on Heavy-Tailed Distributions. It estimates the parameters...
  • condmixt

  • Referenced in 1 article [sw25011]
  • Conditional density estimation with mixtures for heavy-tailed distributions...
  • shs

  • Referenced in 1 article [sw41402]
  • extreme values and outliers by using heavy-tailed distributions, little is known about the semi...
  • EMMIXcskew

  • Referenced in 6 articles [sw16159]
  • CFUST) via maximum likelihood (ML). The CFUST distribution provides a flexible family of models ... heavy-tails in the data. It formally encompasses the normal, t, and skew-normal distributions...
  • rMGLReg

  • Referenced in 1 article [sw42040]
  • copula regression models for modelling multivariate heavy-tailed data. A new class of copulas, termed ... multivariate generalized log-Moyal-gamma distribution whose marginals follow the univariate generalized log-Moyal-gamma...
  • BNNpriors

  • Referenced in 1 article [sw38530]
  • remains challenging to choose a good prior distribution over their weights. While isotropic Gaussian priors ... wide range of predefined priors, including heavy-tailed ones, hierarchical ones, and mixture priors. Moreover...
  • EViews

  • Referenced in 39 articles [sw00254]
  • Eviews supports general statistical analysis and econometric analyses...
  • ManySAT

  • Referenced in 43 articles [sw00544]
  • ManySAT: a parallel SAT solver. ManySAT, a new...
  • MapReduce

  • Referenced in 267 articles [sw00546]
  • MapReduce is a new parallel programming model initially...
  • Mathematica

  • Referenced in 6445 articles [sw00554]
  • Almost any workflow involves computing results, and that...