We prove continuity of the limit distribution function of certain multiscale test statistics which are used in nonparametric curve estimation.

Nonparametric noise spectrum estimation

An R package for running permutation tests and constructing associated confidence interals.

some lean learning tools, in lua

Anisotropic smoothing for change-point regression data

Nonparameteric Estimation of Random Coefficients Model

Continuation to Data Analysis using more mathematical approach.

Samples of my work in programming and data analysis.

Explore parametric & non-parametric hypothesis tests in this Jupyter Notebook tutorial. Compare means, analyze variance & more with real-world examples! 📊✨

R package to implement 2D wavelet decompositions for irregularly spaced and irregularly shaped data

Trimmed Spearman-Karber Method

The order-md algorithm is an adjustment of the order-m algorithm for estimating efficiency scores of decision making units (firms)

Implementation of algorithms and reproducing the results of "set estimation and nonparametric detection".

In This Repo. we implement a distance dependent Chinese restaurant process on Cora dataset to have more accurate non parametric clustering algorithm

blopmatch: Matching Estimator based on a Bilevel Optimization Problem

A library of smoothing kernels in multiple languages for use in kernel regression and kernel density estimation.

Partial Order Scalogram Analysis with Base Co-ordinates

npRR: Model-robust inference for the conditional relative risk function using targeted machine learning

Nonparametric Bootstrap Test with Pooled Resampling

Distribution-free test for general differences in two populations