A Predictive View of Continuous Time Processes
نویسندگان
چکیده
منابع مشابه
On $L_1$-weak ergodicity of nonhomogeneous continuous-time Markov processes
In the present paper we investigate the $L_1$-weak ergodicity of nonhomogeneous continuous-time Markov processes with general state spaces. We provide a necessary and sufficient condition for such processes to satisfy the $L_1$-weak ergodicity. Moreover, we apply the obtained results to establish $L_1$-weak ergodicity of quadratic stochastic processes.
متن کاملA Practical Continuous - time NonlinearGeneralised Predictive
Builded on earlier work on the Open-Loop Intermittent Feedback Optimal (OLIFO) controller, a practical continuous time Generalised Predictive Controller (GPC) is introduced. On-line integration of the model equation is used for the prediction. Only two parameters of a bounded and smooth open-loop control structure have to be opti-mised each time instant. An intermittent receding horizon strateg...
متن کاملNonstationary Continuous - Time Processes ∗
∗Preliminary Comments are welcome. Paper written for the Handbook of Financial Econometrics edited by Yacine Aı̈t-Sahalia and Lars Peter Hansen. We thank Darrell Duffie, Benoit Perron and Mark Watson for discussions and Seoyeon Lee for research assistance. Bandi acknowledges financial support from the IBM Corporation Faculty Research Fund at the University of Chicago. Phillips thanks fhe NSF for...
متن کاملon $l_1$-weak ergodicity of nonhomogeneous continuous-time markov processes
in the present paper we investigate the $l_1$-weak ergodicity of nonhomogeneous continuous-time markov processes with general state spaces. we provide a necessary and sufficient condition for such processes to satisfy the $l_1$-weak ergodicity. moreover, we apply the obtained results to establish $l_1$-weak ergodicity of quadratic stochastic processes.
متن کاملExtremes of Continuous-Time Processes
In this paper we present a review on the extremal behavior of stationary continuous-time processes with emphasis on generalized Ornstein-Uhlenbeck processes. We restrict our attention to heavy-tailed models like heavy-tailed Ornstein-Uhlenbeck processes or continuous-time GARCH processes. The survey includes the tail behavior of the stationary distribution, the tail behavior of the sample maxim...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Annals of Probability
سال: 1975
ISSN: 0091-1798
DOI: 10.1214/aop/1176996302