Frequency-Domain Estimation of Continuous-Time Bilinear Processes
作者机构:Department of MathematicsLarbi Ben M’hidi UniversityOum El BouaghiAlgeria Department of MathematicsAbbes Laghrour UniversityBP 1252 Route de Batna40004 KhenchelaAlgeria
出 版 物:《Communications in Mathematics and Statistics》 (数学与统计通讯(英文))
年 卷 期:2021年第9卷第4期
页 面:379-403页
核心收录:
学科分类:07[理学] 0701[理学-数学] 070101[理学-基础数学]
主 题:Continuous-time bilinear processes Whittle estimator Consistency Asymptotic normality
摘 要:In this paper,we study in frequency domain someprobabilistic and statistical properties of continuous-time version of the well-known bilinear processes driven by a standard Brownian *** class of processes which encompasses many commonly used processes in the literature was defined as a nonlinear stochastic differential equation which has raised considerable interest in the last few ***,the L_(2)-structure of the process is studied and its covariance function is *** structures will lead to study the strong consistency and asymptotic normality of the Whittle estimates of the unknown parameters involved in the *** sample properties are also considered through Monte Carlo *** end,the model is then used to model the exchanges rate of the Algerian Dinar against the US dollar.