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Abstract Details
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Activity Number:
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601
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Type:
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Invited
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Date/Time:
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Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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IMS
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| Abstract - #300278 |
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Title:
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Spectral-Based Methods for Space-Time Models
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Author(s):
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Peter Craigmile*+
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Companies:
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The Ohio State University
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Address:
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, , ,
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Keywords:
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space-time processes ;
spectral analysis ;
periodogram ;
muliple tapers ;
likelihood methods
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Abstract:
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A spectral analysis is used to explore features of a statistical process in the frequency domain in terms of a linear combination of complex exponentials (sinsusoids). While the use of spectral methods are commonplace in time series analysis, its use in the spatial and space-time settings are less so. Our research investigates the use of spectral methods for space-time data that is sparsely collected across space, but densely collected in time. In this geostatistical-space/discrete-time context, we discuss the use of spectral analysis for exploratory data analysis and modeling of space-time data, applying our tools to the analysis of a climate dataset.
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Authors who are presenting talks have a * after their name.
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