nadaraya-watson

There are 1 repository under nadaraya-watson topic.

LRydin / KramersMoyal
kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
stochastic stochastic-process stochastic-differential-equations kernel-density-estimation nadaraya-watson drift-diffusion drift diffusion
Language:Python 62
DiomedesFromHell / QuasarSpectrumDenoising
Predicting quasar spectra using functional regression(Nadaraya-Watson model)
nadaraya-watson functional-regression locally-weighted-regression python numpy
Language:Python 4
ldv1 / kstar-NN
Implementation of the k*-Nearest Neighbors method in Python
python-3 machine-learning nearest-neighbors regression-models classification-algorithm kd-tree regression-algorithms nadaraya-watson random-forest
Language:Python 4
pohl-michel / 3D-image-warping-using-Nadaraya-Watson-non-linear-regression
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)
deformable-image-registration healthcare nadaraya-watson
Language:MATLAB 2
Zaroymi / metrics-methods-ml
Classic metrics methods used in machine learning
metrics-methods machine-learning machine-learning-algorithms noise-reduction nadaraya-watson-regression nadaraya-watson nonparametric-regression kernel-smoothing
Language:Jupyter Notebook 2
PierreBoyeau / density-estimation
nadaraya-watson k-means classification data-science velib model-selection
Language:Jupyter Notebook 1
ygeunkim / nonparam-cvar
Nonparametric methods concerning to expected shortfall
r nonparametric-statistics value-at-risk expected-shortfall local-linear-kernel nadaraya-watson
Language:TeX 1
sdeepak09 / MTH_516_Non_parametric_Inference_IITK
This repository contains Materials for Non-Parametric Inference
chi-square-test cramer-von-mises efficiency empirical-process exact-run-test gaussian-kernel hodge-lehman-estimator kde kernel-density-estimation kolmogorov-smirnov locally-linear-nadaraya-watson mth-516 multivariate-gaussian-kernel multivariate-kde multivariate-uniform-kernel nadaraya-watson non-parametric-inference nw-regression randtests uniform-kernel
Language:R 0
ygeunkim / ceshat
R package for nonparametric estimation of CES
r nonparametric-statistics expected-shortfall value-at-risk nadaraya-watson local-linear-kernel
Language:R 0