Nonparametric estimation of trend function for stochastic differential equations driven by a bifractional Brownian motion

Autor: Keddi Abdelmalik, Madani Fethi, Bouchentouf Amina Angelika
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Acta Universitatis Sapientiae: Mathematica, Vol 12, Iss 1, Pp 128-145 (2020)
Druh dokumentu: article
ISSN: 2066-7752
DOI: 10.2478/ausm-2020-0008
Popis: The main objective of this paper is to investigate the problem of estimating the trend function St = S(xt) for process satisfying stochastic differential equations of the type dXt=S(Xt)dt+εdBtH,K, X0=x0, 0≤t≤T,{\rm{d}}{{\rm{X}}_{\rm{t}}} = {\rm{S}}\left( {{{\rm{X}}_{\rm{t}}}} \right){\rm{dt + }}\varepsilon {\rm{dB}}_{\rm{t}}^{{\rm{H,K}}},\,{{\rm{X}}_{\rm{0}}} = {{\rm{x}}_{\rm{0}}},\,0 \le {\rm{t}} \le {\rm{T,}}
Databáze: Directory of Open Access Journals