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Theory of Stochastic Processes, 2020, Volume 25(41), Issue 2, Pages 61–73 (Mi thsp318)  

Strong consistency of the mode of multivariate recursive kernel density estimator under strong mixing hypothesis

Fatma Ben Khadhera, Yousri Slaouib

a Univ. Monastir, Laboratoire analyse, geométrie et applications, FSM, Tunisie
b Univ. Poitiers, Lab. Math. et Appl., Futuroscope Chasseneuil, France
References:
Abstract: In this research paper, we define a kernel estimator of the mode based on the recursive kernel density estimator developed by [23]. In addition, we establish its almost sure convergence under strong mixing hypothesis. Finally, we corroborate these theoretical results through numerical simulations.
Keywords: Nonparametric estimation, Density estimation, Stochastic approximation, Mode, Strong mixing, Strong consistency.
Document Type: Article
Language: English
Citation: Fatma Ben Khadher, Yousri Slaoui, “Strong consistency of the mode of multivariate recursive kernel density estimator under strong mixing hypothesis”, Theory Stoch. Process., 25(41):2 (2020), 61–73
Citation in format AMSBIB
\Bibitem{KhaSla20}
\by Fatma~Ben~Khadher, Yousri Slaoui
\paper Strong consistency of the mode of multivariate recursive kernel density estimator under strong mixing hypothesis
\jour Theory Stoch. Process.
\yr 2020
\vol 25(41)
\issue 2
\pages 61--73
\mathnet{http://mi.mathnet.ru/thsp318}
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  • https://www.mathnet.ru/eng/thsp318
  • https://www.mathnet.ru/eng/thsp/v25/i2/p61
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