The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
|
Activity Number:
|
99
|
|
Type:
|
Invited
|
|
Date/Time:
|
Monday, August 1, 2011 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
ENAR
|
| Abstract - #300253 |
|
Title:
|
Analyzing Spatial Directional Data with Measurement Error Using Wrapped Gaussian Processes
|
|
Author(s):
|
Alan E. Gelfand*+
|
|
Companies:
|
Duke University
|
|
Address:
|
Department of Statistical Science, Durham, NC, 27708-0251,
|
|
Keywords:
|
Bayesian kriging ;
concentration parameter ;
Gaussian process ;
hierarchical model ;
latent variables ;
resultant length
|
|
Abstract:
|
Circular data arise in oceanography (wave directions) and meteorology (wind directions), and, more generally, with measurements recorded in degrees or angles on a circle. In this talk we introduce a fully model-based approach to handle circular data in the case of measurements taken at spatial locations, anticipating structured dependence between these measurements. We formulate a wrapped Gaussian spatial process model for this setting, induced from a customary inline Gaussian process.
We build a hierarchical model to handle this situation and show how to fit this model straightforwardly using Markov chain Monte Carlo methods. Our approach enables spatial interpolation and can accommodate measurement error. We illustrate with a set of wave direction data from the Adriatic coast of Italy, generated through a complex computer model.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2011 program
|
2011 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.