• DirectLiNGAM

  • Referenced in 23 articles [sw15504]
  • Direct Method for Learning a Linear Non-Gaussian Structural Equation Model. Structural equation models ... generating process of variables. Recently, it was shown that use of non-Gaussianity identifies...
  • GPML

  • Referenced in 44 articles [sw12890]
  • wide range of functionality for Gaussian process (GP) inference and prediction. GPs are specified ... ones. Several likelihood functions are supported including Gaussian and heavy-tailed for regression as well ... Propagation, and Laplace’s method dealing with non-Gaussian likelihoods and FITC for dealing with...
  • GaussianProcesses.jl

  • Referenced in 2 articles [sw42274]
  • non-Gaussian data (e.g., binary classification models) and sparse approximations for scalable Gaussian processes...
  • HOSIM

  • Referenced in 8 articles [sw38402]
  • simulate complex non-linear and non-Gaussian systems. HOSIM is an alternative to the current ... HOSIM algorithm implements a sequential simulation process, where local conditional distributions are generated using weighted...
  • LPTime

  • Referenced in 1 article [sw23733]
  • package LPTime: LP Nonparametric Approach to Non-Gaussian Non-Linear Time Series Modelling. Specially designed ... orthonormal transformations are implemented for non-linear signal processing...
  • glarma

  • Referenced in 5 articles [sw23274]
  • class of observation driven non-linear non-Gaussian state space models. The state vector consists ... conditional on initializing values for the ARMA process) optimized using Fisher scoring or Newton Raphson...
  • SDE-Solver

  • Referenced in 2 articles [sw19033]
  • jumps driven by a number of non-Gaussian random measures. It has been developed ... information on the time evolution of stochastic processes serving as solutions to such SDEs ... real-life phenomena subject to random non-Gaussian disturbances and in studying their various properties...
  • KnockoffGAN

  • Referenced in 4 articles [sw42243]
  • understanding the underlying processes governing the true label (such as discovering relevant genetic factors ... enable discovery from large, high-dimensional, non-linear observational datasets by creating a subset ... Gaussian setting and that it outperforms the original model in non-Gaussian settings, including...
  • HOSA

  • Referenced in 2 articles [sw21993]
  • much more information in a stochastic non-Gaussian or deterministic signal than is conveyed ... higher-order spectral analysis capabilities for signal processing applications. The toolbox is an excellent resource...
  • CumulantsUpdates.jl

  • Referenced in 1 article [sw39188]
  • proposed algorithm can be used for processing on-line high-frequency multivariate data ... algorithm, we propose an estimator of non-Gaussianity of a data stream based...
  • Cuba

  • Referenced in 77 articles [sw00173]
  • Cuba -- a library for multidimensional numerical integration. The...
  • FEMLAB

  • Referenced in 57 articles [sw00274]
  • COMSOL Multiphysics, vormals FEMLAB, ist eine Software zur...
  • MapReduce

  • Referenced in 263 articles [sw00546]
  • MapReduce is a new parallel programming model initially...
  • Mathematica

  • Referenced in 6355 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 13544 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • NAG

  • Referenced in 423 articles [sw00610]
  • Produced by experts for use in a variety...
  • R

  • Referenced in 9969 articles [sw00771]
  • R is a language and environment for statistical...
  • QUADPACK

  • Referenced in 264 articles [sw01236]
  • Fortran subprograms for evaluating definite integrals of functions...
  • EnKF

  • Referenced in 408 articles [sw02066]
  • EnKF-The Ensemble Kalman Filter The EnKF is...