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nonparametric-regression

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tlverse /hal9001

🤠 📿 The Highly Adaptive Lasso

machine-learning-algorithms cross-validation nonparametric-regression lasso-regression

UpdatedNov 19, 2024
R

nignatiadis /SmoothingSplines.jl

Cubic smoothing splines in Julia.

julia nonparametric-regression

UpdatedJul 29, 2023
Julia

panlanfeng /KernelEstimator.jl

The julia package for nonparametric density estimate and regression

nonparametrics density-estimation nonparametric-regression kernel-density

UpdatedJun 12, 2023
Julia

nhejazi /haldensify

📦 R/haldensify: Highly Adaptive Lasso Conditional Density Estimation

machine-learning density-estimation nonparametric-regression causal-inference inverse-probability-weights propensity-score highly-adaptive-lasso conditional-density-estimates

UpdatedSep 6, 2025
R

jkirkby3 /BsplineDensity

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

statistics kernel kde estimation basis density maximum-likelihood nonparametric-regression kernel-density nonparametric kernel-density-estimation maximum-likelihood-estimation nonparametric-statistics bsplines spline-fit

UpdatedAug 22, 2021
MATLAB

stablemarkets /ChiRP

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

r bayesian nonparametric-regression bayesian-statistics nonparametricbayes nonparametric-statistics

UpdatedJul 22, 2021
R

SINATRA

lcrawlab /SINATRA

A statistical framework for feature selection and association mapping with 3D shapes

r variable-selection r-package nonparametric-regression 3d-reconstruction topological-data-analysis shape-reconstruction shape-analysis 3d-shapes centrality-measures euler-characteristics topological-features topological-summary-statistics

UpdatedSep 9, 2023
R

nacro711072 /MFPCA

Multi-dimensional Functional Principal Component Analysis

arrayfire pca functional-data-analysis nonparametric-regression local-polynomial-regression cv-partition

UpdatedAug 28, 2017
Jupyter Notebook

capolitsch /trendfiltering

The state-of-the-art method for denoising 1D signals

data-science machine-learning signal-processing smoothing nonparametric-regression denoising trend-filtering

UpdatedMay 6, 2023
R

benkeser /halplus

Nonparametric regression and prediction using the highly adaptive lasso algorithm

prediction nonparametric-regression penalized-regression lasso-regression

UpdatedJan 6, 2018
R

tbeason /NonparametricRegression.jl

Simple local constant and local linear regressions in Julia

julia nonparametric-regression kernel-smoothing

UpdatedSep 1, 2025
Julia

terrytianyuzhang /Sieve

Source files for R package Sieve

nonparametric-regression penalized-regression

UpdatedJun 5, 2024
R

yizenglistat /rvcm4gt

Varying Coefficient Regression for Group Testing Data

bayesian nonparametric-regression varying-coefficient-model group-testing stochastic-search-variable-selection gaussian-predictive-process

UpdatedOct 28, 2025
R

paulinamoskwa /R-Stats

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

bootstrap r statistics supervised-learning pca survival-analysis splines statistical-tests functional-data-analysis unsupervised-learning anova nonparametric-regression linear-models geostatistics manova gams permutation-test nonparametric-statistics conformal-prediction multivariate-gaussian

UpdatedJun 14, 2022
HTML

CainVampire /Paper

Some R Code for My Paper

r quantile-estimation nonparametric-regression

UpdatedMar 14, 2018
R

local-polynomial-regression-lecture

stinco /local-polynomial-regression-lecture

Lecture on Local Polynomial Regression given for the Statistical Machine Learning exam at University of Trieste

ggplot2 r statistics regression nonparametric-regression nonparametric semiparametric loess

UpdatedFeb 22, 2020
TeX

Zaroymi /metrics-methods-ml

Classic metrics methods used in machine learning

machine-learning machine-learning-algorithms nonparametric-regression noise-reduction nadaraya-watson kernel-smoothing metrics-methods nadaraya-watson-regression

UpdatedMay 14, 2020
Jupyter Notebook

rohitpatra /QuasiLSE

This is an R package to compute the multivariate quasiconvex/quasiconcave nonparametric LSE with or without additional monotonicity constraints described in "Least Squares Estimation of a Monotone Quasiconvex Regression Function" by Somabha Mukherjee, Rohit K. Patra, Andrew L. Johnson, and Hiroshi Morita.

nonparametric-regression

UpdatedJun 11, 2023
R

jordandeklerk /sieve

Python package for penalized sieve estimation in tensor product spaces for non-parametric regression and classification estimation.

sieve nonparametric-regression multivariate-regression penalized-regression nonparametric-statistics tensor-product classification-models high-dimensional-statistics

UpdatedNov 24, 2025
Python

yh1008 /incumbencyEffect

regression discontinuity design; incumbency effect; advanced econometrics

econometrics nonparametric-regression

UpdatedSep 4, 2016
Jupyter Notebook

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