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Past Programs (2005-2012)

  • Statistical Challenges in Modern Astronomy IV (June 12-15, 2006): The fourth in a series of interdisciplinary international research conferences (Conference Program, Photographs, Conference Poster).

  • Summer School in Statistics for Astronomers and Physicists II was held during June 6-10, 2006 at the Pennsylvania State University (Schedule and Lectures, Photographs).

  • SAMSI Astrostatistics Program (January - May, 2006): A semester long research program on Astrostatistics was held at Statistical and Applied Mathematical Sciences Institute. The program started with tutorials followed by Opening Workshop (January 23-25, 2006).   Many Working Groups met throughout the semester, focusing on research areas determined by the opening workshop.

    • Opening Workshop: The Astrostatistics Opening Workshop was held during January 23-25, 2006. Five workshop sessions (Exoplanets, Surveys and Population Studies, Statistics Issues in Particle Physics, Source Detection and Feature Detection, Gravitational Lensing) were organized to review the key astronomical/astrophysical issues and current methodological practice, and to identify promising directions for astrostatistical research.

    • Tutorial 1. Bayesian Astrostatistics (January 18-20, 2006), Tom Loredo (Cornell) - Leader.
      This three-day session will include lectures and several practicum classes on the basic theory and practice of Bayesian statistics, using examples from astronomy.

    • Tutorial 2. Nonparametric Statistics and Machine Learning for Astronomers(January 21-22, 2006), Larry Wasserman (Carnegie-Mellon) - Leader.
      This session will introduce astronomers to modern methods in nonparametric statistics. The tutorial will also include implementation details in the R language.

    • Tutorial 3. Astronomy for Statisticians (January 21-22, 2006), William Jeffreys (UTexas) and Eric Feigelson (Penn State) - Leaders.
      This session will review the modern understanding of our universe spanning planetary systems, stars, the Milky Way Galaxy, extragalactic astronomy and cosmology. Statistical issues underlying the astronomical studies will be emphasized and discussed.