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Fast Kernel Smoothing in R with Applications to Projection Pursuit
v1v2 (latest)

Fast Kernel Smoothing in R with Applications to Projection Pursuit

Journal of Statistical Software (JSS), 2020
7 January 2020
David P. Hofmeyr
ArXiv (abs)PDFHTML

Papers citing "Fast Kernel Smoothing in R with Applications to Projection Pursuit"

2 / 2 papers shown
Optimal Projections for Classification with Naive Bayes
Optimal Projections for Classification with Naive Bayes
David P. Hofmeyr
Francois Kamper
Michail M. Melonas
190
1
0
09 Sep 2024
BOB: Bayesian Optimized Bootstrap for Uncertainty Quantification in
  Gaussian Mixture Models
BOB: Bayesian Optimized Bootstrap for Uncertainty Quantification in Gaussian Mixture Models
Santiago Marin
Bronwyn Loong
A. Westveld
267
0
0
07 Nov 2023
1