article · Communication in Statistics- Theory and Methods · 2010

Nonparametric Density Estimation for Functional Data via Wavelets

Cited by 5Abstract and details only

Abstract

Abstract We consider the problem of estimation of the density function for functional data with values in a complete separable metric space or normed vector space by the method of wavelets under the assumption that the density function belongs to a separable Hilbert space. Keywords: Functional dataNonparametric density estimationWaveletsMathematics Subject Classification: Primary 62G07Secondary 60B11

Cite this paper

APA 7

Рао, Б. Л. С. П. (2010). Nonparametric Density Estimation for Functional Data via Wavelets. Communication in Statistics- Theory and Methods, 39(8-9), 1608–1618. https://doi.org/10.1080/03610920802209143

MLA 9

Рао, Б. Л. С. Пракаса. “Nonparametric Density Estimation for Functional Data via Wavelets.” Communication in Statistics- Theory and Methods, vol. 39, no. 8-9, 2010, pp. 1608–18, https://doi.org/10.1080/03610920802209143.

Chicago

Рао, Б. Л. С. Пракаса. 2010. “Nonparametric Density Estimation for Functional Data via Wavelets.” Communication in Statistics- Theory and Methods 39 (8-9): 1608–18. https://doi.org/10.1080/03610920802209143.

Harvard

Рао, Б.Л.С.П. (2010) ‘Nonparametric Density Estimation for Functional Data via Wavelets’, Communication in Statistics- Theory and Methods, 39(8-9), pp. 1608–1618. Available at: https://doi.org/10.1080/03610920802209143.

BibTeX

@article{anon2010nonparametric,
  title = {{Nonparametric Density Estimation for Functional Data via Wavelets}},
  author = {Рао, Б. Л. С. Пракаса},
  journal = {Communication in Statistics- Theory and Methods},
  volume = {39},
  number = {8-9},
  pages = {1608--1618},
  year = {2010},
  doi = {10.1080/03610920802209143}
}

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