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Statistical Analysis of Massive Data Streams: Proceedings of a Workshop (2004)

Chapter: Douglas Nychka, Chair of Session on Atmospheric and Meteorological Data Introduction by Session Chair

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Suggested Citation:"Douglas Nychka, Chair of Session on Atmospheric and Meteorological Data Introduction by Session Chair ." National Research Council. 2004. Statistical Analysis of Massive Data Streams: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/11098.
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INTRODUCTION BY SESSION CHAIR 10 Douglas Nychka, Chair of Session on Atmospheric and Meteorological Data Introduction by Session Chair Transcript of Presentation BIOSKETCH: Douglas Nychka is a senior scientist at the National Center for Atmospheric Research (NCAR) and is also the project leader for the Geophysical Statistics Project (GSP). He works closely with many of the postdoctorate fellows at NCAR and his primary goal is to emphasize interdisciplinary research: migrating statistical techniques to important scientific problems and using these problems to motivate statistical research. Dr. Nychka's personal research interests include nonparametric regression (mostly splines), and statistical computing, spatial statistics, and spatial designs. He received his undergraduate degree from Duke University in mathematics and physics and his PhD from the University of Wisconsin under the direction of Grace Wahba. He came to GSP/NCAR in 1997 after spending 14 years as a faculty member in the Statistics Department at North Carolina State University.

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Massive data streams, large quantities of data that arrive continuously, are becoming increasingly commonplace in many areas of science and technology. Consequently development of analytical methods for such streams is of growing importance. To address this issue, the National Security Agency asked the NRC to hold a workshop to explore methods for analysis of streams of data so as to stimulate progress in the field. This report presents the results of that workshop. It provides presentations that focused on five different research areas where massive data streams are present: atmospheric and meteorological data; high-energy physics; integrated data systems; network traffic; and mining commercial data streams. The goals of the report are to improve communication among researchers in the field and to increase relevant statistical science activity.

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