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Mathematics in the Geosciences, September 2001  June 2002
Organizers:
David
R. Brillinger
Department of Statistics
University of CaliforniaBerkeley
brill@stat.berkeley.edu
Frederic
Schoenberg
Department of Statistics
University of CaliforniaLos Angeles
frederic@stat.ucla.edu
Time series methods, both univariate and multivariate, provide important sources of information for the analysis and identification of dynamical properties of a wide range of physical systems. Traditional approaches are based on the statistics of random processes. More recent approaches incorporate ideas from the ergodic theory of dynamical systems. The crossfertilization of these two approaches provides unique opportunities for the application of timeseries methods to the geosciences. The goal of this workshop is to seek out new opportunities to apply recent advances in the statistical analysis of time series to geophysical applications. Intended participants are statisticians interested in new applications, and earth scientists seeking to learn about recent advances in the application of modern statistical methods.
This workshop will start with a tutorial on the statistical and dynamical approaches to timeseries analysis, including timedomain and spectral tools, as well as point processes. Recent methods, such as wavelets, the multitaper method, and singularspectrum analysis, will be covered. Applications will include various solidearth time series, including earthquake magnitudes and volcanic events, magnetic field reversals and sunspot counts, as well as intraseasonal, interannual, interdecadal, and paleoclimatic time series. Owing to the currency of the topic, a special tutorial session will be organized to provide mathematicians and other nonspecialists with some perspectives on the issues of global change, notably the greenhouse effect and global warming.
Monday  Tuesday 
MONDAY,
NOVEMBER 12
All talks are in Lecture Hall EE/CS 3180 unless otherwise noted. 


8:30 am  Coffee and Registration 
Reception Room EE/CS 3176 

9:15 am  Douglas N. Arnold, Robert Gulliver, and Robert H. Shumway  Welcome and Introduction  
9:30 am  Murray
Rosenblatt University of California, San Diego 

10:30 am  Coffee Break  Reception Room EE/CS 3176  
11:00 am  Richard
A. Davis Colorado State University 
Maximum Likelihood Estimation for AllPass Models  
12:00 pm 
Lunch
Break


2:00 pm  Tohru
Ozaki The Institute of Statistical Mathematics 
Innovation Approach to the Identification of Nonlinear Causal Models in Time Series Analysis Slides: html pdf powerpoint 

3:30 pm  IMA
Tea/Reception A variety of appetizers and beverages will be served. 
Reception Room EE/CS 3176  
TUESDAY,
NOVEMBER
13 All talks are in Lecture Hall EE/CS 3180 unless otherwise noted. 

9:00 am  Coffee  Reception Room EE/CS 3176  
9:30 am  KehShin
Lii University of California 
Nonparametric Estimation of the Intensity Function of a Point Process  
10:30 am  Coffee Break  Reception Room EE/CS 3176  
11:00 am  Wei
Biao Wu University of Chicago 

12:00 pm 
Lunch
Break


2:00 pm 
Donald L. Turcotte
Cornell University 
Selfaffine time series: measures and applications in geophysics 

3:00 pm 
Ana
Monica Costa Antunes
University of Manchester 
Nonlinear Analysis of Spatial Time Series Slides: html pdf powerpoint 

3:30 pm 
Zhongjie
Xie
Peking University 
Hidden Periodicities Analysis for Spatial Data and its Application in Geophysics  
4:00 pm  Coffee Break  Reception Room EE/CS 3176  
4:30 pm 
Discussion
Session
Leaders:


WEDNESDAY,
NOVEMBER
14 All talks are in Lecture Hall EE/CS 3180 unless otherwise noted. 

9:00 am  Coffee  Reception Room EE/CS 3176  
9:30 am  Donald
B. Percival University of Washington 

10:30 am  Coffee Break  Reception Room EE/CS 3176  
11:00 am  Tata
S. SubbaRao University of Manchester Institute of Science and Technology 
Non stationary time series analysis of Global Temperature anamolies  
12:00 pm 
Lunch
Break


2:00 pm 
David
J. Thomson
Bell Labs 
Musings on "LongMemory" Processes  
2:30 pm  Edward
J. Wegman George Mason University 
Pixel Tours  
3:00 pm  Shaleen
Jain NOAA Climate Diagnostics 
Multiple Timescale Climate Controls on Flood probabilities: Examples from the Western United States  
3:30 pm  Coffee Break  Reception Room EE/CS 3176  
4:00 pm  Discussion
Session Leader:


6:00 pm  Workshop Dinner  Kikugawa at Riverplace, 43 Main St. S.E. Minneapolis  
THURSDAY,
NOVEMBER
15 All talks are in Lecture Hall EE/CS 3180 unless otherwise noted. 

9:00 am  Coffee  Reception Room EE/CS 3176  
9:30 am  Robert
H. Shumway University of California 
Nonparametric Deconvolution of Seismic Depth Phases  
10:30 am  Coffee Break  Reception Room EE/CS 3176  
11:00 am  Genshiro
Kitagawa The Institute of Statistical Mathematics 
State Space Approach to Signal Extraction Problems in Seismology Slides: html pdf powerpoint 

12:00 pm 
Conclusion and Lunch

Monday  Tuesday 
Name

Department  Affiliation 

Dale N. Anderson  Pacific Northwest Laboratory  
Elizabeth M. Andrews  Statistics  Colorado State University 
Ana Monica Costa Antunes  Mathematics  UMIST 
Doug Arnold  Institute for Mathematics & its Applications  
Christopher Binghamn  Statistics  University of Minnesota 
Richard Davis  Statistics  Colorado State University 
William T.M. Dunsmuir  Biostatistics, Statistics  University of Minnesota 
Robert Gulliver  Institute for Mathematics & its Applications  
Roger Hansen  Geophysical Institute  University of Alaska Fairbanks 
Shaleen Jain  CIRES Climate Diagnostics Center  NOAA 
SungEun Kim  Mathematical Sciences  University of Cincinnati 
Genshiro Kitagawa  Prediction and Control  The Institute of Statistical Mathematics 
KehShin Lii  Statistics  University of California, Riverside 
Gary W. Oehlert  Statistics  University of Minnesota 
Tohru Ozaki  Statistical Methodology  The Institute of Statistical Mathematics 
Donald B. Percival  Applied Physics Laboratory  University of Washington 
Gabriel A. RodriguezYam  Statistics  Colorado State University 
Murray Rosenblatt  Mathematics  University of California, San Diego 
Fadil Santosa  Institute for Mathematics & its Applications  
Robert Shumway  Statistics  University of California, Davis 
David S. Stoffer  Biostatistics  University of Pittsburg 
Tata Subba Rao  Mathematics  UMIST 
Tze Chein Sun  Mathematics  Wayne State University 
David J. Thomson  Bell Laboratories  
Donald Turcotte  Geological Sciences  Cornell University 
Edward J. Wegman  Centre for Computational Statistics  George Mason University 
Asst Wei Biao Wu  Statistics  University of Chicago 
Zhongjie Xie  Mathematical Science  Peking University 
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