Wavelet based Random Densities

David Rios Insua; Brani Vidakovic

Wavelet based Random Densities

David Rios Insua, Brani Vidakovic

Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:263-274, 1997.

Abstract

In this paper we describe theoretical properties of wavelet-based random densities and give algorithms for their generation. We exhibit random densities subject to some standard constraints: smoothness, modality, and skewness. We also give a relevant example of use of random densities.

Cite this Paper

BibTeX


@InProceedings{pmlr-vR1-insua97a,
  title = 	 {Wavelet based Random Densities},
  author =       {Insua, David Rios and Vidakovic, Brani},
  booktitle = 	 {Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics},
  pages = 	 {263--274},
  year = 	 {1997},
  editor = 	 {Madigan, David and Smyth, Padhraic},
  volume = 	 {R1},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {04--07 Jan},
  publisher =    {PMLR},
  pdf = 	 {http://proceedings.mlr.press/r1/insua97a/insua97a.pdf},
  url = 	 {https://proceedings.mlr.press/r1/insua97a.html},
  abstract = 	 {In this paper we describe theoretical properties of wavelet-based random densities and give algorithms for their generation. We exhibit random densities subject to some standard constraints: smoothness, modality, and skewness. We also give a relevant example of use of random densities.},
  note =         {Reissued by PMLR on 30 March 2021.}
}

Endnote

%0 Conference Paper
%T Wavelet based Random Densities
%A David Rios Insua
%A Brani Vidakovic
%B Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics
%C Proceedings of Machine Learning Research
%D 1997
%E David Madigan
%E Padhraic Smyth	
%F pmlr-vR1-insua97a
%I PMLR
%P 263--274
%U https://proceedings.mlr.press/r1/insua97a.html
%V R1
%X In this paper we describe theoretical properties of wavelet-based random densities and give algorithms for their generation. We exhibit random densities subject to some standard constraints: smoothness, modality, and skewness. We also give a relevant example of use of random densities.
%Z Reissued by PMLR on 30 March 2021.

APA


Insua, D.R. & Vidakovic, B.. (1997). Wavelet based Random Densities. Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, in Proceedings of Machine Learning Research R1:263-274 Available from https://proceedings.mlr.press/r1/insua97a.html. Reissued by PMLR on 30 March 2021.

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