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Conditional Mean and Variance Estimation via \textit{k}-NN Algorithm with Automated Variance Selection
v1v2 (latest)

Conditional Mean and Variance Estimation via \textit{k}-NN Algorithm with Automated Variance Selection

2 February 2024
Marcos Matabuena
J. Vidal
Oscar Hernan Madrid Padilla
J. Onnela
ArXiv (abs)PDFHTMLGithub

Papers citing "Conditional Mean and Variance Estimation via \textit{k}-NN Algorithm with Automated Variance Selection"

3 / 3 papers shown
Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces
Marcos Matabuena
Rahul Ghosal
Pavlo Mozharovskyi
Oscar Hernan Madrid Padilla
J. Onnela
283
0
0
10 Jun 2025
Explaining the Success of Nearest Neighbor Methods in Prediction
Explaining the Success of Nearest Neighbor Methods in Prediction
George H. Chen
Devavrat Shah
OOD
992
155
0
21 Feb 2025
Fast Computation of Leave-One-Out Cross-Validation for $k$-NN Regression
Fast Computation of Leave-One-Out Cross-Validation for kkk-NN Regression
Motonobu Kanagawa
660
4
0
08 May 2024
1
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