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

Deforming a 3D image according to a given deformation vector field with Nadaraya-Watson regression; 3rd repo in a series of 3 repos associated with the research article "Prediction of the motion of chest internal points using an RNN trained with RTRL for latency compensation in lung cancer radiotherapy" (Pohl et al, Comput Med Imaging Graph, 2021)

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Nonparametric methods concerning to expected shortfall

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

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