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Springer Series in Astrostatistics
Description
How did the Universe form? How old is it? What is it composed of and how wide-ranging is it in scope? And, will it continue to expand? These are questions cosmologists have long sought to answer by comparing data from myriad astronomical objects to theories of the universe’s formation and evolution. But, until recently, cosmology was a data-starved science. For instance, before the 1990 launch of the Hubble Space Telescope, the Hubble constant—a number representing the current expansion rate of the universe—could only be inferred ever so slightly, and cosmologists had to make do performing simple statistical analyses. Since that time, technological advances have led to a flood of new data, ushering in the era of precision cosmology. The Sloan Digital Sky Survey alone has collected basic data for more than 200 million objects. To help make sense of all this data, cosmologists have increasingly turned to statisticians to develop a broad range of answers, and a new interdisciplinary field has arisen: astrostatistics. Work in astrostatistics uses a wide range of statistical methods, and in the past ten years a number of statistical issues relating to the interpretation cosmology’s very large and imperfect data sets have become prevalent and a source of controversy. Also, in the past ten years, over twenty discrete sections in astrostatistics have become affiliated with departments of statistics or astronomy in North America alone. Later this year, the International Statistical Institute(ISI) will launch the International Astrostatistics Network(IAN) as a discrete companion society to the ISI. An IAN-branded journal is already in the formative stages as well. This new series delves into the new discipline that is statistical astronomy. It is designed to cover many of the diverse areas of this newly evolving discipline, with an emphasis on specific statistical methodologies and relevant topics in cosmology that these methods impact. The series will focus primarily on monographs from leading researchers in statistics and astronomy, but broad reviews that potentially could be utilized as texts in graduate courses in statistical astronomy will also be included. Proceedings volumes covering many symposia in statistical astronomy are designed to be included as well.
Astrostatistics and Data Mining,Luis Manuel SarroLaurent EyerWilliam O'MullaneJoris De Ridder,2012
Astrostatistics and Data Mining.pdf
(5.36 MB, 需要: 5 个论坛币)
Astrostatistical Challenges for the New Astronomy,Joseph M. Hilbe,2013
Astrostatistical Challenges for the New Astronomy-Springer-Verlag New York (2013).pdf
(7.2 MB, 需要: 5 个论坛币)
Statistical Methods for Astronomical Data Analysis,Asis Kumar ChattopadhyayTanuka Chattopadhyay,2014
Statistical Methods for Astronomical Data Analysis.pdf
(2.76 MB, 需要: 5 个论坛币)
Bayesian Methods for the Physical Sciences,Stefano AndreonBrian Weaver,2015
Bayesian Methods for the Physical Sciences.pdf
(6.54 MB, 需要: 5 个论坛币)
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