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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "epkde" in publications use:'
type: software
license: GPL-3.0-only
title: 'epkde: Bayesian Bandwidth Selection for Multivariate KDE via Expectation Propagation'
version: 0.1.0
doi: 10.32614/CRAN.package.epkde
abstract: 'Implements the approximate Bayesian method for bandwidth selection in multivariate
  kernel density estimation (KDE) proposed in Filippone & Sanguinetti (2011) <https://doi.org/10.1016/j.csda.2011.05.023>.
  The method uses the Expectation Propagation (EP) algorithm to approximate the posterior
  distribution of the inverse bandwidth (precision matrix) under a leave-one-out cross-validated
  likelihood. Three covariance structures are supported: isotropic (scalar precision),
  diagonal, and full precision matrix. Online Bayesian updating is supported for the
  isotropic case. The approximate posterior can be used for bandwidth selection, model
  comparison (via the model evidence / Bayes factor), and online learning.'
authors:
- family-names: Filippone
  given-names: Maurizio
  email: maurizio.filippone@kaust.edu.sa
repository: https://mauriziofilippone.r-universe.dev
repository-code: https://github.com/mauriziofilippone/epkde
commit: 23e76bece79b7aece180b842e597d52ee10ae401
url: https://github.com/mauriziofilippone/epkde
date-released: '2026-08-30'
contact:
- family-names: Filippone
  given-names: Maurizio
  email: maurizio.filippone@kaust.edu.sa