A continuous-time framework for ARMA processes Article Swipe
Related Concepts
Autoregressive–moving-average model
Uniqueness
Autoregressive model
Stochastic differential equation
Process (computing)
Applied mathematics
Type (biology)
Mathematics
Computer science
Stochastic process
Moving average
Differential (mechanical device)
Econometrics
Mathematical analysis
Statistics
Physics
Thermodynamics
Ecology
Operating system
Biology
Andreas Basse-O’Connor
,
Mikkel Slot Nielsen
,
Jan Skov Pedersen
,
Victor Rohde
·
YOU?
·
· 2017
· Open Access
·
· OA: W2611680109
YOU?
·
· 2017
· Open Access
·
· OA: W2611680109
Based on a vast literature on continuous-time moving average processes we suggest an analogue for an autoregressive structure, and from this we combine the two concepts to a model for stationary processes which exhibit an ARMA type behavior. We relate this framework to CARMA processes, and thereby shed light on new aspects of these well-studied processes. Within the model we obtain existence and uniqueness results and study the structure of the solution process. Solutions to general stochastic delay differential equations constitute a particular subclass of these ARMA type processes, and we study these in detail. The results obtained for this subclass go beyond already existing literature.
Related Topics
Finding more related topics…