Statistical challenges in modern astronomy V : [proceedings of the fifth SCMA conference held in June 2011]
Now beginning its third decade, the Statistical Challenges in Modern Astronomy (SCMA) conferences are the premier forums where astronomers and statisticians discuss advanced methodological issues arising in astronomical research. From cosmology to exoplanets, astronomers produce enormous datasets a...
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| Awduron Eraill: | , |
| Fformat: | Livre numérique |
| Iaith: | Anglais |
| Cyhoeddwyd: |
New York, NY :
Springer New York : Imprint: Springer
[20..].
Cham : Springer Nature |
| Cyfres: | Lecture Notes in Statistics
902 |
| Pynciau: | |
| Mynediad Ar-lein: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nodyn: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Variante du titre: | Statistical challenges in modern astronomy 5 Statistical challenges in modern astronomy five SCMA V |
| Edition sous un autre format: | • Statistical Challenges in Modern Astronomy V, Eric D. Feigelson, G. Jogesh Babu, editors, New York, Springer, 2013, 1 vol. (XXIII-559 p.), Lecture notes in statistics, 978-1-4614-3519-8 |
| Crynodeb: | Now beginning its third decade, the Statistical Challenges in Modern Astronomy (SCMA) conferences are the premier forums where astronomers and statisticians discuss advanced methodological issues arising in astronomical research. From cosmology to exoplanets, astronomers produce enormous datasets and encounter difficult modeling issues to arrive at astrophysical insights. At the SCMA V conference held at Penn State University in June 2011, researchers from around the world presented the latest astrostatistical methods. To promote cross-disciplinary perspectives, each lecture from an expert in one field is followed by a commentary from the other field.A wide range of statistical developments are highlighted in the SCMA V conference. Some focus on problems arising in precision cosmology involving characteristics of the cosmic microwave background, galaxy clustering and gravitational lensing. Bayesian approaches are particularly important in this and other areas. Knowledge discovery from megadatasets brings methods of data mining into use. Image analysis and time series analysis are areas where astronomers perennially wrestle with sophisticated modeling problems. The proceedings ends with discussion of the future of astrostatistics. 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 |
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| Disgrifiad o'r Eitem: | Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| ISBN: | 9781461435204 |
| Mynediad: | Accès en ligne pour les établissements français bénéficiaires des licences nationales Accès soumis à abonnement pour tout autre établissement Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |