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Digital sky surveys, data from orbiting telescopes, and advances in computation have increased the quantity and quality of astronomical data by several orders of magnitude in recent years. Making sense of this wealth of data requires sophisticated statistical and data analytic techniques. Fortunately, statistical methodologies have similarly made great strides in recent years. Powerful synergies thus emerge when astronomers and statisticians join in examining astrostatistical problems and approaches. The volume focuses on several themes: ·The increasing power of Bayesian approaches to modeling astronomical data ·The growth of enormous databases, leading an emerging federated Virtual Observatory, and their impact on modern astronomical research ·Statistical modeling of critical datasets, such as galaxy clustering and fluctuations in the microwave background radiation, leading to a new era of precision cosmology ·Methodologies for uncovering clusters and patterns in multivariate data ·The characterization of multiscale patterns in imaging and time series data As in earlier volumes in this series, research contributions discussing topics in one field are joined with commentary from scholars in the other. Short contributed papers covering dozens of astrostatistical topics are also included.
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ABSTRACT Portions of the history of the interaction between astronomy and statistics are told in the form of short case studies of a number of people who appear (or should appear) in books about both. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
radio peak flux, massive vertices, weighted power spectrum, cosmic matter distribution, lefthand frame, uniformly sampled data, cosmic foam, ridgelet transform, effective dwell time, frequentist calculations, righthand frame, red magnitude, trous algorithm, bayesian experimental design, adaptive exploration, redshift space distortions, large redshift surveys, galaxy distribution, surrogate data sets, timing residuals, true power spectrum, clustering length, quadrature data, frequentist analyses, clustering strength Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Sloan Digital Sky Survey, Bayesian Blocks, Dianne Cook, Mexican Hat, Milky Way, The Astrophysical Journal, John Wiley, Enn Saar, Bayes Network, Del Popolo, Jean-Luc Starck, Phys Rev, The Annals of Statistics, Astronomical Time Series Analysis, Bell Labs, Big Bang, Bob Nichol, Harvard University, San Francisco, Cambridge University Press, Journal of the American Statistical Association, Journal of the Royal Statistical Society, Larry Bretthorst, Office of Space Science New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
ABSTRACT Portions of the history of the interaction between astronomy and statistics are told in the form of short case studies of a number of people who appear (or should appear) in books about both. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
radio peak flux, massive vertices, weighted power spectrum, cosmic matter distribution, lefthand frame, uniformly sampled data, cosmic foam, ridgelet transform, effective dwell time, frequentist calculations, righthand frame, red magnitude, trous algorithm, bayesian experimental design, adaptive exploration, redshift space distortions, large redshift surveys, galaxy distribution, surrogate data sets, timing residuals, true power spectrum, clustering length, quadrature data, frequentist analyses, clustering strength Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Sloan Digital Sky Survey, Bayesian Blocks, Dianne Cook, Mexican Hat, Milky Way, The Astrophysical Journal, John Wiley, Enn Saar, Bayes Network, Del Popolo, Jean-Luc Starck, Phys Rev, The Annals of Statistics, Astronomical Time Series Analysis, Bell Labs, Big Bang, Bob Nichol, Harvard University, San Francisco, Cambridge University Press, Journal of the American Statistical Association, Journal of the Royal Statistical Society, Larry Bretthorst, Office of Space Science New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 83
books:
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- Statistical Challenges in Modern Astronomy by Eric D. Feigelson on 6 pages
- Virtual Observatories (Proceedings of Spie) by Alexander S. Szalay on 4 pages
- Statistics of the Galaxy Distribution by Vicent J. Martínez on page 123, page 155, and page 160
- Image Processing and Data Analysis: The Multiscale Approach by Jean-Luc Starck on page 102, page 342, and page 362
- Theory of Probability (Oxford Classic Texts in the Physical Sciences) by the late Harold Jeffreys on page 17, page 84, and page 88
See all 83 books this book cites
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