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Random Processes with Stationary Increments and Intrinsic Random Functions on the Real Line

Abstract Number:

1184 

Submission Type:

Contributed Abstract 

Contributed Abstract Type:

Poster 

Participants:

Jongwook Kim (1), Chunfeng Huang (2)

Institutions:

(1) Indiana University Bloomington, N/A, (2) Indiana University, N/A

Co-Author:

Chunfeng Huang  
Indiana University

First Author:

Jongwook Kim  
Indiana University Bloomington

Presenting Author:

Jongwook Kim  
Indiana University Bloomington

Abstract Text:

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.

Keywords:

intrinsic random function|random process with stationary increment |non-stationary random process|spatial statistics| time series|

Sponsors:

Section on Statistics and the Environment

Tracks:

Spatio-temporal statistics

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