stat-by-tish/non-parametric-two-way-anova

A novel approach for performing non-parametric two-way ANOVA using a bootstrap permutation method. Built for a student project.

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aangelopoulos/conformal_classification

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).

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PhilBoileau/cvCovEst

An R package for nonparametric covariance matrix estimation in high dimensions

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qddyy/LearnNonparam

'R6'-Based Flexible Framework for Permutation Tests

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nt-williams/lmtp

:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:

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egarpor/DirStats

Nonparametric kernel density estimation, bandwidth selection, and other utilities for analyzing directional data

Language: R - Size: 278 KB - Last synced at: 10 days ago - Pushed at: 11 months ago - Stars: 13 - Forks: 0

Wb-az/timeseries-sensor-anomaly-detection

Unsupervised anomaly detection in vibration signal using PyCaret vs BiLSTM

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ederricho/Probability-Distributions

Null Distributions for Nonparametric Tests

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nicholast25/Depression-Diagnostic-Machine-Learning

This project focuses on analyzing and comparing the performance of SVM, Random Forest, and XGBoost in diagnosing depression based on individual data. The evaluation process incorporates Non-Parametric Statistical Testing, Feature Engineering, Resampling, and Hyperparameter Tuning. The project received a grade of 97/100 in Computational Intelligence

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fdaPDE/fdaPDE-cpp

A C++ library for physics-informed spatial and functional data analysis over complex domains.

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mwiecksosa/tvnpest

Efficient nonparametric estimation of time-varying means, correlations, etc

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mwiecksosa/tvnpreg

Efficient nonparametric estimation of time-varying regression functions

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bdwilliamson/vimp

Perform inference on algorithm-agnostic variable importance

Language: R - Size: 14.1 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 24 - Forks: 8

pizhn/MultiKDE.jl

Multivariate kernel density estimation

Language: Julia - Size: 108 KB - Last synced at: 11 days ago - Pushed at: 3 months ago - Stars: 34 - Forks: 1

happma/pseudorank

R Package providing functions to calculate pseudo-ranks and pseudo-rank based nonparametric test statistics.

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DJLin0219/NonlinearTensorSDR

Structure-Preserving Nonlinear Sufficient Dimension Reduction

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QVQZZZ/NopaPy

🛠「NopaPy」是一个开源易用的非参数统计Python库。

Language: Python - Size: 124 KB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jeffreyevans/rfUtilities

R package for random forests model selection, inference, evaluation and validation

Language: R - Size: 306 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 24 - Forks: 13

tlverse/causalglm

Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

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JayAhn0104/School-Works

School work archives

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nathan-lindstedt/randomization_tests

Permutation Methods for Nonprobability Data

Language: Python - Size: 93.8 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

jkirkby3/BsplineDensity

B-Spline Density Estimation Library - nonparametric density estimation using B-Spline density estimator from univariate sample.

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noramvillanueva/clustcurv

An R package for determining groups of curves

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aschleg/hypothetical

Hypothesis and statistical testing in Python

Language: Python - Size: 853 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 64 - Forks: 10

GrzegorzMika/NonParStat

A collection of various non-parametric tests.

Language: Python - Size: 14.5 MB - Last synced at: 30 days ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1

Wb-az/COVID-19-classification

Nonparametric comparison of convolutional neural networks and transformers to classify COVID-19

Language: Python - Size: 16.7 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

mickcrosse/PERMUTOOLS

A MATLAB package for multivariate permutation testing and effect size measurement

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mpokojovy/CSSC2024

Adaptive Location and Scale Estimation with Kernel Weighted Averages - Technical Appendix and Supplemental R Code for Pokojovy et al (2024) CSSC Paper

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JRigh/Survival-Analysis-in-R-and-Python

Elements of Survival Analysis in R and Python

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aerdely/Estadistica3

Julia programming code for nonparametric Statistics

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Evan-Wagner/work-samples

Samples of my work in programming and data analysis.

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mullinix/cuda_linear_model_mc_bs

Language: Cuda - Size: 709 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

tubanlee/REDS_Central_Moments

Robust estimations from distribution structures: Central moments.

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fdaPDE/fdaPDE-R

The R wrapper to the fdaPDE library for physics-informed spatial and functional data analysis.

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AlvaroFdezBra/AlFeBr_TFG_R_scripts

TFG: Tratamiento estadístico de la fiabilidad en el campo de la ingeniería

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bdwilliamson/vimpy

Perform inference on algorithm-agnostic variable importance in Python

Language: Python - Size: 407 KB - Last synced at: 10 days ago - Pushed at: about 3 years ago - Stars: 20 - Forks: 5

bdwilliamson/spvim_supplementary 📦

Reproduce analyses from "Efficient nonparametric statistical inference on population feature importance using Shapley values"

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nershman/EnvironmentalRisk_FinancialRating

R Dashboard using general additive models

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Jiacheng-Zhu-AIML/WGPOT

The Wasserstein Distance and Optimal Transport Map of Gaussian Processes

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marave1/RobCovGEL

Covariate adjustment methods using generalized empirical likelihood and robust estimators

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paulinamoskwa/R-Stats

Easy-to-use collection of statistical methods and techniques, all written in R 🗂

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shounakch/NN-DM

Implements the Nearest Neighbor Dirichlet Mixture (NN-DM) algorithm for embarrassingly parallel pseudo-Bayesian density estimation.

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Niccolo-Ajroldi/Nonparametric-Statistics-Project

Nonparametric analysis of 2020 US presidential elections.

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simonchemnitz/Non-parametric-bayesian

Code for my Project in Statistics: Nonparametric drift estimation of stochastic differential equations

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meganzj/CMU_IntermediaStat_36.705

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allenXyGao/Course-Projects

UW course projects

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ChristianKeine/Moods-Mediantest

Mood's median test is non-parametric statistical test to compare medians among of two or more groups

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jarrodtky/BankCustomerData_EDA-StatisticalAnalysis_SAS-Studio

Statistical Analysis for Bank Customer Data Using SAS Studio

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kmyafi/Nonparametric-Statistics-R

R codes for Nonparametric Statistics

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hanshengjiang/npmle_git

A Python package for computing NPMLE of mixture of regression

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YujiSODE/regLines

Tool for generating random variables that follows given frequency distibution using linear regressions in given intervals.

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kamrul69/Wavelets

Wavelet analysis requires two basic functions which are scaling function and details function. A wavelet system is the infinite collection of translated and scaled version of father wavelet and mother wavelet.

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JRigh/Nonparametric-tests

Nonparametric test and R code

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rubenfcasal/npfda

Nonparametric functional data analysis

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stablemarkets/ChiRP

Chinese Restaurant Process Models for Regression and Clustering. Master branch contains latest stable build.

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sxtforreal/Non-parametric-modeling

Investigate the impact of the fall of Berlin wall and COVID-19 global lockdown on CO2 concentration.

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daczarne/udelar_estadistica_no_parametrica 📦

Estadística no paramétrica

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schalkdaniel/cpsp

C++ spline implementation with helper

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28101991SUNNY/Statistics_study

about statistical techniques for Data Science

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matteopelagatti/indeptest

Code and data of the paper "A nonparametric test of independence between two random variables of any kind"

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ethangtkt/MU-STA333

All of the assignments that I worked on when taking the Nonparametric Statistics course at Miami University

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ShaunMcDonald1021/density_UQ_review_paper

Code and documentation from density UQ review paper.

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stelmanj/MusicAndLanguage

Exploring connections between audio features and lyric language in music.

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MDinhobl/order-md

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

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MicheleDiSabato/statistics-behind-spotify

Is it possible to predict the popularity of a song based on its technical features? Which aspect of a song should an artist focus on to get more visibility? Could record labels or a new up-and-coming artist benefit from these data-driven and data-informed decisions?

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MicheleDiSabato/AppliedStatistics

Collection of some exercises and code snippets for the course of Applied Statistics [Politecnico di Milano, 2020/2021] by Professor Piercesare Secchi.

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nmningmei/parametric_nonparametric_statistics_comparison

A comparion between parametric and nonparametric statistics using Python

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rrkulkarni108/COVID-DeathCounts-State-Age-Sex-Independence

Size: 323 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

katjanestrickland/NonParametric-Statistics

Data and modeling notes for Nonparametric Statistics

Language: R - Size: 3.2 MB - Last synced at: 6 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

igutierrezm/MANOVABNPTest.jl

A flexible group comparison test based on dependent Dirichlet process

Language: Julia - Size: 226 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ygeunkim/nonparam-cvar

Nonparametric methods concerning to expected shortfall

Language: TeX - Size: 9.98 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 2

devosmitachatterjee2018/Statistical_Inference

The project involves sampling designs and summarizing data, maximum likelihood estimation of parameters, bootstrap, parametric and non-parametric inference, the analysis of variance, linear least squares, categorical data, elements of the decision theory and bayesian inference.

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coreydevinanderson/PyANON

Python functions for simple nonparametric tests (both one-sample and paired).

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wbbreslin/HazardRateTest

An R package for a statistical test that compares hazard rates from two samples

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nfrontero20/predicting-diamond-price

Predicting the prices of diamonds using nonparametric methods

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GrzegorzMika/Morozov

Morozov discrepancy principle in statistical inverse problems with Poisson noise

Language: Python - Size: 176 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

jds485/Geothermal_ESDA

This repository contains exploratory spatial data analysis (ESDA) functions and scripts. These functions are designed for geothermal spatial datasets, and are applicable to other spatial datasets.

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ygeunkim/ceshat

R package for nonparametric estimation of CES

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francois-drielsma/synapse

Synergistic Analysis of Phase Space Evolution

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jialinyi94/FTSC

Functional Time Series Clustering

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