Location: NISS building Research Triangle Park North CarolinaInformation: 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 IVJune 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 SAMSIJanuary 18-25, 2006

Available at

http://astrostatistics.psu.edu/samsi06/