There are 1 repository under nonparametric-statistics topic.
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
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).
Hypothesis and statistical testing in Python
:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
Multivariate kernel density estimation
Perform inference on algorithm-agnostic variable importance
Perform inference on algorithm-agnostic variable importance in Python
R package for random forests model selection, inference, evaluation and validation
A C++ library for physics-informed spatial and functional data analysis over complex domains.
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
B-Spline Density Estimation Library - nonparametric density estimation using B-Spline density estimator from univariate sample.
An R package for assumption-lean covariance matrix estimation in high dimensions
Chinese Restaurant Process Models for Regression and Clustering. Master branch contains latest stable build.
A MATLAB package for multivariate permutation testing and effect size measurement
Robust estimations from distribution structures: Central moments.
My implementation of Symbolic Transfer Entropy (STE): a measure of asymmetric information flow between stochastic processes.
about statistical techniques for Data Science
Reproduce analyses from "Efficient nonparametric statistical inference on population feature importance using Shapley values"
UW course projects
A Python package for computing NPMLE of mixture of regression
Easy-to-use collection of statistical methods and techniques, all written in R đź—‚
Implements various nonparametric tests in chapters 1-5 of the book "An introduction to modern nonparametric statistics" by James J. Higgins.
R Package providing functions to calculate pseudo-ranks and pseudo-rank based nonparametric test statistics.
A comparion between parametric and nonparametric statistics using Python
An R package for determining groups of curves
Exploring connections between audio features and lyric language in music.
Unsupervised anomaly detection in vibration signal using PyCaret vs BiLSTM
In this project, a simple Nested Chinese Restaurant Process is implemented. this is done by using HLDA for topic modeling with Gibbs Sampler. this project demonstrates the BBC Insight Dataset for evaluation.
All of the assignments that I worked on when taking the Nonparametric Statistics course at Miami University
Statistical Analysis for Bank Customer Data Using SAS Studio
Project for the Nonparametric Statistics course of the MSc in Mathematical Engineering @ Polimi (A.Y. 2022-2023).