Topic: heavy-tailed-distributions Goto Github
Some thing interesting about heavy-tailed-distributions
Some thing interesting about heavy-tailed-distributions
heavy-tailed-distributions,Mean and Covariance Matrix Estimation under Heavy Tails
Organization: convexfi
Home Page: https://CRAN.R-project.org/package=fitHeavyTail
heavy-tailed-distributions,Robust estimation using heavy-tailed distributions
User: faosorios
Home Page: http://heavy.mat.utfsm.cl/
heavy-tailed-distributions,Heavy-Tailed distributions in Variational Autoencoder (VAE)
User: francescogrillea
heavy-tailed-distributions,LambertW R package: Lambert W x F distributions and Gaussianization for skewed & heavy-tailed data
User: gmgeorg
heavy-tailed-distributions,pylambertw - sklearn interface to analyze and gaussianize heavy-tailed, skewed data
User: gmgeorg
heavy-tailed-distributions,Heavy-tailed ESD without gradient noise
User: kvignesh1420
Home Page: https://arxiv.org/abs/2406.04657
heavy-tailed-distributions,Robust Offline Reinforcement Learning with Heavy-Tailed Rewards
User: mamba413
heavy-tailed-distributions,Adaptive Location and Scale Estimation with Kernel Weighted Averages - Technical Appendix and Supplemental R Code for Pokojovy et al (2024) CSSC Paper
User: mpokojovy
heavy-tailed-distributions,Accuracy and performance benchmark of stable ("fat-tailed") distribution libraries in Python.
User: ragibson
heavy-tailed-distributions,Efficiently generate Gaussian stochastic processes with heavy-tailed algebraic correlations.
User: val-link
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