Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Ta Cong, Son"'
Autor:
Ta Cong, Son1 (AUTHOR), Tran Manh, Cuong1 (AUTHOR) cuongtm@vnu.edu.vn, Bui Khanh, Hang1 (AUTHOR), Le Van, Dung2 (AUTHOR)
Publikováno v:
Statistical Papers. May2024, Vol. 65 Issue 3, p1869-1900. 32p.
Akademický článek
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Publikováno v:
Acta Mathematica Sinica; Sep2024, Vol. 40 Issue 9, p2195-2212, 18p
Publikováno v:
In International Journal of Approximate Reasoning April 2018 95:62-76
Autor:
Nguyen Tien Dung, Ta Cong Son
Publikováno v:
Stochastic Analysis and Applications. :1-20
Publikováno v:
Teoriya Veroyatnostei i ee Primeneniya. 67:541-562
Целью статьи является применение теории правильно меняющихся функций для изучения слабого и усиленного законов больших чисел Марцинке
Autor:
Ta Cong Son, Le Van Dung
Publikováno v:
Journal of Statistical Computation and Simulation. 92:370-394
In this paper, based on the properties of slowly varying functions and the de Bruijn conjugates, we establish general results on complete moment convergence for randomly weighted sums of m-asymptot...
Autor:
Ta Cong Son, Le Van Dung
Publikováno v:
Journal of Theoretical Probability. 35:988-1012
In this paper, based on the theory of regularly varying functions we study central limit theorems for the weighted sum $$S_n=\sum _{j=1}^{m_n}c_{nj}X_{nj}$$ , where $$(X_{nj};1\le j \le m_n,n\ge 1)$$ is a Hilbert-space-valued identically distributed
Autor:
Ta Cong Son
Publikováno v:
Journal of Statistical Physics. 181:1730-1745
In this paper, we study the rate in the Smoluchowski–Kramers approximation for the solution of the equation $$X_t=x+B_t^H+\int _0^t b(X_s)ds$$ where $$\{B_t^H, t\in [0,T]\}$$ is a fractional Brownian motion with Hurst parameter $$H\in \big (\frac{1
Autor:
Ta Cong Son, Nguyen Tien Dung
Publikováno v:
Journal of Mathematical Analysis and Applications. 479:2119-2138
In this paper, we investigate the tail distribution of a fundamental class of one-dimensional diffusion processes. Based on the techniques of the Malliavin calculus, we obtain explicit estimates for tail distributions. Some examples and applications