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
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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
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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 Program
Joint 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
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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/