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Location: NISS building Research Triangle Park North Carolina Information: www.samsi.info.
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Location: NISS building Research Triangle Park North Carolina Information: www.samsi.info
Vision: To focus on the synthesis of statistical sciences and applied mathematical sciences with disciplinary science to confront difficult data- and model-driven scientific challenges. • Past SAMSI Programs • 2002-03 • Inverse Problem Methodology in Complex Stochastic Models • Large Scale Computer Models for Environmental Systems • Challenges in Stochastic Computation • 2003-04 • Network Modeling for the Internet • Multiscale Model Development and Control Design • Data Mining and Machine Learning • 2004-05 • Latent Variable Models in the Social Sciences • Data Assimilation in Geophysical Systems • Computational Modeling of Infectious Disease
Current and Future Programs • 2005-06 • National Security and Homeland Defense (Full Year) • Financial Mathematics, Statistics and Econometrics (Fall) • Astrostatistics (Spring) • Multiplicity and Replicability in Scientific Studies(July, 06) • 2006-07 • High Dimensional Inference and Random Matrices (Fall) • Development, Assessment and Utilization of Complex Computer Models (with subprograms for engineering models, environmental/ecological models, granular/fluid flow models, and methodology) (Full Year)
Programs on the Horizon • 2007-08 • Risk Analysis • Waves in Random Media • Sensor Networks in Ecology • 2008-09 • Dynamic Monte Carlo for Statistical and Scientific Computing • Mathematical and Statistical Models for Neuronal Activity • Agent-based Modeling in the Social Sciences • Algebraic Techniques in Statistics and Systems Biology
Opportunities for Participation • Proposing and leading a research program • Visiting researchers (short and long term) • Workshop participation • Providing testbed problems and data • Postdoctoral opportunities (2+ years) • Graduate students • participate in major research programs • summer interdisciplinary workshops • Undergraduate workshops
We hope to see you at SAMSI! Information: www.samsi.info
Astrostatistics ProgramJoint between SAMSI and CASt • Program leaders:G. J. Babu (Penn State) - Chair, Eric Feigelson (Penn State), Tom Loredo (Cornell University), Donald Richards (Penn State), Alanna Connors (Eureka Scientific), and Larry Wasserman (Carnegie-Mellon University). Jim Berger (SAMSI) is Directorate Liaison, and Peter Bickel (Berkeley) is National Advisory Committee Liaison. • Long term visitors: Jogesh Babu, Phil Gregory, John Hartigan,Bill Jefferys, Jiashun Jin, Jaeyong Lee, Ji Meng Loh, Tom Loredo, Louis Lyons, David van Dyk, Michael Woodroofe • Graduate students:Floyd Bullard, Pablo de la Cruz, Hyunsook Lee, Nicholas Robbins, Lingsong Zhang • ‘Official’ local faculty and scientists:Merlise Clyde, Woncheol Jang, Arlie Petters, Zhengyuan Zhu
Workshops • Tutorial on Bayesian Astrostatistics (January 18-20, 2006) at SAMSI • Tutorial on Nonparametric Inference (January 21-22, 2006) at SAMSI • Tutorial on Astronomy for Statisticians (January 21-22, 2006) at SAMSI • Opening workshop (January 23-25, 2006) at SAMSI • Several topical mini-workshops or intensive research weeks: TBD • Summer School in Statistics for Astronomers and Physicists (June 6-10, 2006) at Penn State. • Pre-conference software tutorial (Sunday, June 11, 2006) at Penn State • Statistical Challenges in Modern Astronomy IV (June 12-15, 2006) at Penn State • Statistical Inference Problems in High Energy Physics and Astronomy (July 15-20, 2006) at BIRS Conference Center, Banff • Astrostatistics Seminar • Ongoing research organized by working groups, operating throughout the program. To date, the following working groups are planned. • Exoplanets (Bill Jefferys) • Statistical Issues in Particle Physics (Louis Lyons) • Surveys and Population Studies (Tom Loredo) • Gravitational Lensing (Arlie Petters) • Source Detection and Feature Detection (David van Dyk)
G. J. Babu – Director, E. Feigelson – Associate Director Partners:Grist, iAstro, CDS, CGWP, PSGC, SAMSI Serves as a crossroads where researchers at the interfaces between statistics, data analysis, astronomy, space and observational physics collaborate, develop and share methodologies, and together prepare the next generation of researchers. http://astrostatistics.psu.edu
Foster collaborations • Improve the statistical methods in astronomy research • Tutorials/Summer schools to train the next generation in both the communities • Web resources • StatCodes • Annotated Bibliography • Software tutorials
Statistical Challenges in Modern Astronomy IV June 12-15, 2006 Penn State University Now open for registration & contributed papers http://astrostatistics.psu.edu/scma4/
Tutorials and Opening Workshop Talks of Atrostatistics Program at SAMSI January 18-25, 2006 Available at http://astrostatistics.psu.edu/samsi06/