• GPML

• Referenced in 44 articles [sw12890]
• functions are supported including Gaussian and heavy-tailed for regression as well as others suitable...

• PhFit

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

• LambertW

• Referenced in 13 articles [sw06066]
• LambertW: Analyze and Gaussianize skewed, heavy-tailed data , The Lambert W framework ... generalized way to analyze skewed, heavy-tailed data. Lambert W random variables (RV) are based ... slightly skewed or heavy-tailed). Then this transformed RV Y has a Lambert ... Lambert W analysis of skewed and heavy-tailed data: data can be simulated, parameters...

• GSM

• Referenced in 19 articles [sw10497]
• flexible and novel approach for modeling heavy-tailed distributions, it is computationally efficient...

• EbayesThresh

• Referenced in 17 articles [sw11103]
• probability at zero and a suitable heavy-tailed distribution. The mixing parameter can be estimated...

• Powerlaw

• Referenced in 11 articles [sw29150]
• Python package for analysis of heavy-tailed distributions. Power laws are theoretically interesting probability distributions...

• poweRlaw

• Referenced in 9 articles [sw19742]
• Fitting Heavy Tailed Distributions: The poweRlaw Package. Over the last few years, the power ... makes fitting power laws and other heavy-tailed distributions straightforward. This package contains R functions...

• not

• Referenced in 8 articles [sw16502]
• signal, piecewise-constant signal with a heavy-tailed noise, piecewise-linear signal, piecewise-quadratic signal...

• FarmTest

• Referenced in 7 articles [sw31555]
• test statistics that are robust against heavy-tailed and/or asymetric error distributions. Extensions...

• 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...

• EMMIXcskew

• Referenced in 6 articles [sw16159]
• with parameters for capturing skewness and heavy-tails in the data. It formally encompasses...

• L2P

• Referenced in 2 articles [sw36456]
• Algorithm for Estimating Heavy-tailed Outcomes. Many real-world prediction tasks have outcome (a.k.a. target ... 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...

• NAGSAT

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

• IDetect

• Referenced in 2 articles [sw28005]
• Gaussian noise, piecewise-constant signal with heavy-tailed noise, continuous piecewise-linear signal with Gaussian ... noise, continuous piecewise-linear signal with heavy-tailed noise...

• FMsmsnReg

• Referenced in 1 article [sw32124]
• Models with Finite Mixtures of Skew Heavy-Tailed Errors. Fit linear regression models where ... finite mixture of of Skew Heavy-Tailed Errors...

• shs

• Referenced in 1 article [sw41402]
• Heavy or semi-heavy tail, that is the question. While there has been considerable research ... extreme values and outliers by using heavy-tailed distributions, little is known about the semi...

• condmixt

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

• PartCensReg

• Referenced in 1 article [sw38438]
• Linear Censored Regression Models Based on Heavy-Tailed Distributions. It estimates the parameters...

• BNNpriors

• Referenced in 1 article [sw38530]
• wide range of predefined priors, including heavy-tailed ones, hierarchical ones, and mixture priors. Moreover...

• rMGLReg

• Referenced in 1 article [sw42040]
• copula regression models for modelling multivariate heavy-tailed data. A new class of copulas, termed...