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Abstract:

In this paper, we consider kernel type estimator with variable bandwidth when the random variables belong in a Riemannian manifolds. We study asymptotic properties such as the consistency and the asymptotic distribution. A simulation study is also considered to evaluate the performance of the proposal. Finally, to illustrate the potential applications of the proposed estimator, we analyse two real examples where two different manifolds are considered.

Registro:

Documento: Artículo
Título:Locally adaptive density estimation on Riemannian manifolds
Autor:Henry, G.; Muñoz, A.; Rodriguez, D.
Filiación:Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina
CONICET, Argentina
Palabras clave:Asymptotic results; Density estimation; Nonparametric; Riemannian manifolds; Asymptotic distributions; Asymptotic properties; Asymptotic results; Density estimation; Non-parametric; Riemannian manifold; Simulation studies; Variable bandwidths; Statistical methods; Statistics; Asymptotic analysis
Año:2013
Volumen:37
Número:2
Página de inicio:111
Página de fin:130
Título revista:SORT
Título revista abreviado:SORT
ISSN:16962281
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16962281_v37_n2_p111_Henry

Referencias:

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  • Boothby, W.M., (1975) An Introduction to Differentiable Manifolds and Riemannian Geometry, , Academic Press, New York
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  • Devroye, L., Wagner, T.J., The strong uniform consistency of nearest neighbor density estimates (1977) Annals of Statistics, 3, pp. 536-540
  • Do Carmo, M., (1988) Geometria Riemaniana, , Proyecto Euclides IMPA. 2a edición
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  • Henry, G., Rodriguez, D., Kernel density estimation on Riemannian manifolds: Asymptotic results (2009) Journal of Mathematical Imaging and Vision, 43, pp. 235-639
  • Jammalamadaka, S., Sengupta, A., Topics in circular statistics (2001) Multivariate Analysis, 5. , World Scientific, Singapore
  • Joshi, J., Srivastava, A., Jermyn, I.H., Riemannian analysis of probability density functions with applications in vision (2007) Proceedings of the IEEE Computer Vision and Pattern Recognition
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Citas:

---------- APA ----------
Henry, G., Muñoz, A. & Rodriguez, D. (2013) . Locally adaptive density estimation on Riemannian manifolds. SORT, 37(2), 111-130.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16962281_v37_n2_p111_Henry [ ]
---------- CHICAGO ----------
Henry, G., Muñoz, A., Rodriguez, D. "Locally adaptive density estimation on Riemannian manifolds" . SORT 37, no. 2 (2013) : 111-130.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16962281_v37_n2_p111_Henry [ ]
---------- MLA ----------
Henry, G., Muñoz, A., Rodriguez, D. "Locally adaptive density estimation on Riemannian manifolds" . SORT, vol. 37, no. 2, 2013, pp. 111-130.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16962281_v37_n2_p111_Henry [ ]
---------- VANCOUVER ----------
Henry, G., Muñoz, A., Rodriguez, D. Locally adaptive density estimation on Riemannian manifolds. SORT. 2013;37(2):111-130.
Available from: https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16962281_v37_n2_p111_Henry [ ]