Abstract Details
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Activity Number:
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32
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Type:
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Contributed
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Date/Time:
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Sunday, August 3, 2014 : 2:00 PM to 3:50 PM
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Sponsor:
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Business and Economic Statistics Section
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Abstract #313634
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View Presentation
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Title:
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Time Series Models for High-Frequency Integer-Valued Data
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Author(s):
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Spencer Hays*+
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Companies:
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Virginia Commonwealth University
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Keywords:
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Abstract:
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With the increasing sophistication of data collection, count data can be reliably collected to a near infinitesimal degree of fineness. With such high frequency of measurement, it is more realistic that measured data are discrete samples of continuous processes, rather than discrete Poisson processes. Applications include EMS call forecasting and other big data problems.
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Authors who are presenting talks have a * after their name.
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