
PhFit
 Referenced in 24 articles
[sw01789]
 results in satisfactory fitting also for heavytail distributions. Moreover, PhFit allows the user...

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 heavytailed distribution. The mixing parameter can be estimated...

GSM
 Referenced in 16 articles
[sw10497]
 estimation of a mixture of gamma distributions in which the mixing occurs over the shape ... flexible and novel approach for modeling heavytailed distributions, it is computationally efficient...

Powerlaw
 Referenced in 11 articles
[sw29150]
 Python package for analysis of heavytailed distributions. Power laws are theoretically interesting probability distributions...

poweRlaw
 Referenced in 9 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 heavytailed distributions straightforward. This package contains R functions...

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

heavy
 Referenced in 4 articles
[sw13216]
 heavy: Package for robust estimation using heavytailed distributions. This package contains functions to perform ... robust estimation considering heavytailed distributions. Currently, the package includes linear regression, linear mixedeffect...

NAGSAT
 Referenced in 4 articles
[sw11453]
 distributed search paradigm. Nagging exploits the heavytailed distribution of 3SAT solution time...

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

FarmTest
 Referenced in 7 articles
[sw31555]
 that are robust against heavytailed and/or asymetric error distributions. Extensions to twosample simultaneous...

condmixt
 Referenced in 1 article
[sw25011]
 Conditional density estimation with mixtures for heavytailed distributions...

PartCensReg
 Referenced in 1 article
[sw38438]
 Linear Censored Regression Models Based on HeavyTailed Distributions. It estimates the parameters...

shs
 Referenced in 1 article
[sw41402]
 extreme values and outliers by using heavytailed 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 ... heavytails in the data. It formally encompasses the normal, t, and skewnormal distributions...

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 heavytailed ones, hierarchical ones, and mixture priors. Moreover...

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

ManySAT
 Referenced in 40 articles
[sw00544]
 ManySAT: a parallel SAT solver. ManySAT, a new...

MapReduce
 Referenced in 262 articles
[sw00546]
 MapReduce is a new parallel programming model initially...

Mathematica
 Referenced in 6337 articles
[sw00554]
 Almost any workflow involves computing results, and that...

Matlab
 Referenced in 13460 articles
[sw00558]
 MATLAB® is a highlevel language and interactive...