THE MALLIAVIN DERIVATIVE FOR G ENERALIZATION OF FRACTIONAL BESSEL TYPE PROCESS
About this article
Received: 01/04/21                Revised: 28/05/21                Published: 31/05/21Abstract
Keywords
Full Text:
PDFReferences
[1] Y. Hu, D. Nualart, and X. Song, "A singular stochastic differential equation driven by fractional Brownian motion," Statistics Probability Letters, vol. 78, no. 14, pp. 2075-2085, 2008.
[2] Y. Mishura, Anton Yurchenko-Tytarenko, "Fractional Cox-Ingersoll-Ross process with non-zero "mean"," Mod. Stoch. Theory Appl., vol. 5, no. 1, pp. 99 - 111, 2018.
[3] J. Hong, C. Huang, M. Kamrani, X.Wang, " Optimal strong convergence rate of a backward Euler type scheme for the Cox–Ingersoll–Ross model driven by fractional Brownian motion," Stochastic Processes and their Applications, vol. 130, no. 5, pp. 2675-2692, 2020.
[4] T. H. Vu, "Existence and uniqueness of solution for generalization of fractional Bessel type process," (in Vietnamese), TNU Journal of Science and Technology, vol. 225, no. 02: Natural Sciences - Engineering - Technology, pp. 39-44, 2020.
[5] F. Biagini, Y. Hu, B. Oksendal and T. Zhang, Stochastic Calculus for Fractional Brownian Motion and Applications. Springer, London, 2008.
[6] D. Nualart, The Malliavin Calculus and Related Topics , 2nd Edition, SpringerVerlag Berlin Heidelberg, 2006.
[7] D. Nualart and B. Saussereau, "Malliavin calculus for stochastic differential equations driven by a fractional Brownian motion," Stochastic processes and their applications, vol. 119, no. 2, pp. 391-409, February 2009.
DOI: https://doi.org/10.34238/tnu-jst.4243
Refbacks
- There are currently no refbacks.





