nadaraya-watson

kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order

Implementation of the k*-Nearest Neighbors method in Python

Predicting quasar spectra using functional regression(Nadaraya-Watson model)

Classic metrics methods used in machine learning

3D image warping from dense deformation fields using Nadaraya–Watson kernel regression

Nonparametric methods concerning to expected shortfall

This repository contains Materials for Non-Parametric Inference

Lifting the hood on core statistical methods. From-scratch R implementations of Bootstrap, EM, LOOCV, and LASSO, revealing the engines that power data science.

R package for nonparametric estimation of CES

Crypto Market trading predictions based on LSTM and market analytics with wavelets

MATLAB implementation of a multi-scale Bayesian Residual Transform (BRT) to enhance power quality signals. It decomposes noisy signals containing power quality disturbances using Nadaraya-Watson kernel regression, applies MAD soft-thresholding for denoising, and outputs IEEE-formatted metrics (SNRI, THD, RMSE).