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JOURNALS // Theory of Stochastic Processes // Archive

Theory Stoch. Process., 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

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.

MSC: 62G05; 62G07; 62L20; 62E20; 60F05; 60E05

Language: English



© Steklov Math. Inst. of RAS, 2026