Location: NISS building

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Location NISS building
Research Triangle Park
North Carolina Information www.samsi.info
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• 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

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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)

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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

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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

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We hope to see you at SAMSI! Information
www.samsi.info
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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

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• 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)

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• 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

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• 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

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• Statistical Challenges in Modern Astronomy IV
• June 12-15, 2006
• Penn State University
• Now open for registration contributed papers
• http//astrostatistics.psu.edu/scma4/

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• Tutorials and Opening Workshop Talks
• of Atrostatistics Program at SAMSI
• January 18-25, 2006
• Available at
• http//astrostatistics.psu.edu/samsi06/