There are 0 repository under nonparametric topic.
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.
Nonlinear Nonparametric Statistics
A practical nonparametric statistical tests library for JavaScript
An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.
B-Spline Density Estimation Library - nonparametric density estimation using B-Spline density estimator from univariate sample.
Hierarchical Dirichlet Process Generalized Linear Models
Robust estimations from distribution structures: Central moments.
Code for the Nadaraya-Watson Head - an interpretable/explainable, nonparametric classification head which can be used with any neural network
R Package. Bayesian and nonparametric quantile regression, using Gaussian Processes to model the trend, and Dirichlet Processes, for the error. Author: Carlos Omar Pardo Gomez.
A small, header-only, fast C shared library with ML/nonparametrix algorithms for researchers and developers
Development version of the CptNonPar R package
Official repo of the article: W. A. Yousef, I. Traoré and W. Briguglio, "UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring," in IEEE Transactions on Information Forensics and Security, vol. 16, pp. 5195-5210, 2021, doi: 10.1109/TIFS.2021.3125608.
Compute the Kruskal-Wallis test for equal medians.
Wilcoxon signed rank test.
Codes for "A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging" Copyright (C) 2018 Zhou Lan (zlan@ncsu.edu) - All Rights Reserved
R Package providing functions to calculate pseudo-ranks and pseudo-rank based nonparametric test statistics.
:large_blue_circle: Exact Distributions and Performance of some Two-sample Nonparametric Tests for Circular Data
Lecture on Local Polynomial Regression given for the Statistical Machine Learning exam at University of Trieste
VIBER - Variational Binomial Mixtures
This R package implements the algorithm proposed by Rigollet & Weed in their 2019 paper to solve the uncoupled isotonic regression problem.
Jackstrap created by Sousa e Stosic (2005). The package detects outliers in efficiency measurement with big samples.
Assignments and exercises from Advanced Econometrics 1&2
Replication and simulations on "Applied Nonparametric Instrumental Variables Estimation" by Horowitz (2011) using R
Performs a permutation test based on Watson's U2 statistic for 2-sample testing of circular data.
Implementation of Maris & Oostenvald 2007 method
This function estimates value of statistic used in "Brunner Munzel test" with given two sample arrays.
Anisotropic smoothing for change-point regression data