Lecture Notes in Statistics - Proceedings

Statistical Challenges in Modern Astronomy V

Editors: Feigelson, Eric D., Babu, Jogesh (Eds.)

  • Covers wide range of advances in statistical astronomy
  • Many new techniques in the areas of large data set star and planet mapping will be discussed, including time series and applications in SAS and R
  • Documents a successful symposium on statistical astronomy
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About this book

This volume contains a selection of chapters based on papers to be presented at the Fifth Statistical Challenges in Modern Astronomy Symposium. The symposium will be held June 13-15th at Penn State University. Modern astronomical research faces a vast range of statistical issues which have spawned a revival in methodological activity among astronomers. The Statistical Challenges in Modern Astronomy V conference will bring astronomers and statisticians together to discuss methodological issues of common interest. Time series analysis, image analysis, Bayesian methods, Poisson processes, nonlinear regression, maximum likelihood, multivariate classification, and wavelet and multiscale analyses are all important themes to be covered in detail. Many problems will be introduced at the conference in the context of large-scale astronomical projects including LIGO, AXAF, XTE, Hipparcos, and digitized sky surveys.

About the authors

Eric D. Feigelson, Professor of Astronomy & Astrophysics, and G. Jogesh Babu, Professor of Statistics, have long collaborated in cross-disciplinary research and services.  Under the auspices of Penn State's Center for Astrostatistics, they run the SCMA conferences, offer summer schools in statistics for astronomers, produce texts and research articles promoting advances in statistical methodology in astronomy.  Feigelson also conducts research in X-ray astronomy and star formation, and Babu is a mathematical statistician with interest in bootstrap methods, nonparametrics and asymptotic theory.  

 

Table of contents (67 chapters)

  • Likelihood-Free Inference in Cosmology: Potential for the Estimation of Luminosity Functions

    Schafer, Chad M. (et al.)

    Pages 3-19

  • Commentary: Likelihood-Free Inference in Cosmology: Potential for the Estimation of Luminosity Functions

    Hendry, Martin A.

    Pages 21-25

  • Robust, Data-Driven Inference in Non-linear Cosmostatistics

    Wandelt, Benjamin D. (et al.)

    Pages 27-40

  • Simulation-Aided Inference in Cosmology

    Higdon, David (et al.)

    Pages 41-57

  • Commentary: Simulation-Aided Inference in Cosmology

    Graziani, Carlo

    Pages 59-64

Buy this book

eBook $269.00
price for USA (gross)
  • ISBN 978-1-4614-3520-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $349.00
price for USA
  • ISBN 978-1-4614-3519-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Statistical Challenges in Modern Astronomy V
Editors
  • Eric D. Feigelson
  • Jogesh Babu
Series Title
Lecture Notes in Statistics - Proceedings
Series Volume
209
Copyright
2012
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4614-3520-4
DOI
10.1007/978-1-4614-3520-4
Softcover ISBN
978-1-4614-3519-8
Series ISSN
1869-7240
Edition Number
1
Number of Pages
XXIII, 559
Number of Illustrations and Tables
53 b/w illustrations, 78 illustrations in colour
Topics