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Statistical Challenges in Modern Astronomy V

Fifth cross-disciplinary research conference on advances in astrostatistics, preceded by weekend tutorials.
When 13 June 2011 08:00 AM to
17 June 2011 05:00 PM
Where Penn State University
Contact Name
Contact Phone 814 865-0162
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Proceedings

The Statistical Challenges in Modern Astronomy (SCMA) conferences, held every five years since 1991, are the premiere forum for research statisticians and astronomers to discuss methodological issues of mutual interest. Astronomers face an incredible range of problems in statistical inference from megadatasets, modeling data with nonlinear astrophysical models, time series analysis from irregularly spaced observations, spatial analysis of clustering processes, treatment of censoring and truncation, heteroscedastic measurement errors, and more. The issue arise in all fields of astronomy -- planetary, stellar, extragalactic and cosmological -- and observations at all wavebands of light. Major investments in new telescopes require new advanced statistical methodologies to attain their scientific goals. SCMA meetings are unusual in emphasizing cross-disciplinary interactions between statisticians and astronomers. The Invited Speaker in one field is followed by a Commentator from the other field. Brief biographies of the Speakers and Scientific Organizing Committee members are available.

 

SCMA V is preceded by weekend tutorials (June 11-12) in fields of particular interest in astrostatistics.

The Scientific Program is divided into nine sessions with ~30 confirmed speakers.

  1. Statistical Modeling in Astronomy
  2. Bayesian Analysis Across Astronomy
  3. Bayesian Cosmology
  4. Data Mining and Informatics
  5. Sparsity
  6. Interpreting Astrophysical Simulations
  7. Time Domain Astronomy
  8. Spatial and Image Analysis
  9. Future Directions for Astrostatistics

The pre-conference Tutorials presented by S.O.C. members:

  1. Bayesian Computation: MCMC and All That
  2. Data Mining
  3. R for Astronomers
  4. Wavelets for Image Analysis

 

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