44: Random Processes with Stationary Increments and Intrinsic Random Functions on the Real Line
Jongwook Kim
Presenting Author
Indiana University Bloomington
Monday, Aug 4: 2:00 PM - 3:50 PM
1184
Contributed Posters
Music City Center
Random processes with stationary increments and intrinsic random processes are two concepts commonly used to deal with non-stationary random processes. They are broader classes than stationary random processes and conceptually closely related to each other. A random process with stationary increments is a stochastic process where its distribution of the increments only depends on its temporal or spatial intervals. On the other hand, an intrinsic random function is a flexible family of non-stationary processes where the process is assumed to have lower monomials as its mean and the transformed process becomes stationary. This research illustrates the relationship between these two concepts of stochastic processes and shows that, under certain conditions, they are equivalent on the real line.
intrinsic random function
random process with stationary increment
non-stationary random process
spatial statistics
time series
Main Sponsor
Section on Statistics and the Environment
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