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).
Nonlinear Nonparametric Statistics
Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.
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.
Code for the Nadaraya-Watson Head - an interpretable/explainable, nonparametric classification head which can be used with any neural network
Hierarchical Dirichlet Process Generalized Linear Models
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.
Algorithm-agnostic significance testing in supervised learning with multimodal data
Robust estimations from distribution structures: Central moments.
A small, header-only, fast C shared library with ML/nonparametrix algorithms for researchers and developers
Algorithm-agnostic significance testing in supervised learning with multimodal data
An R package for obtaining nonparametric estimates of regression models with or without factor-by-curve interactions using local polynomial kernel smoothers or splines
Wilcoxon signed rank test.
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.
R Package providing functions to calculate pseudo-ranks and pseudo-rank based nonparametric test statistics.
Performs a permutation test based on Watson's U2 statistic for 2-sample testing of circular data.
Compute the Kruskal-Wallis test for equal medians.
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
: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
Implementation of algorithms and reproducing the results of "set estimation and nonparametric detection".
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
Nonparametric Bootstrap Test with Pooled Resampling