Almost sure convergence of recursive density estimators for stationary mixing processes
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Cited by:
- P. Cattiaux & José R. León & C. Prieur, 2015. "Recursive estimation for stochastic damping hamiltonian systems," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 27(3), pages 401-424, September.
- Xin Wang, 2017. "Online Kernel estimation of stationary stochastic diffusion models," Quantitative Finance, Taylor & Francis Journals, vol. 17(7), pages 1089-1103, July.
- Juan Vilar-Fernández & José Vilar-Fernández, 2000. "Recursive local polynomial regression under dependence conditions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 9(1), pages 209-232, June.
- Lanh Tran, 1990. "Recursive kernel density estimators under a weak dependence condition," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 42(2), pages 305-329, June.
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Keywords
recursive probability density estimation strong mixing processes rates of strong consistency;Statistics
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