Buch, Englisch, 433 Seiten, Format (B × H): 175 mm x 250 mm, Gewicht: 924 g
Reihe: Proceedings of the International Astronomical Union Symposia and Colloquia
Buch, Englisch, 433 Seiten, Format (B × H): 175 mm x 250 mm, Gewicht: 924 g
Reihe: Proceedings of the International Astronomical Union Symposia and Colloquia
ISBN: 978-1-107-07856-7
Verlag: Cambridge University Press
The advent of advanced astronomical instruments and huge surveys means that the twenty-first century is witnessing a rapid growth in astrostatistical science. Interpreting the cosmic microwave background, weak and strong gravitational lensing, galaxy clustering and other signatures of the early Universe all require advanced statistical techniques. Led by members of the IAU's newly formed Working Group in Astrostatistics and Astroinformatics, IAU Symposium 306 emphasises the intricate mathematical methods needed to extract scientific insights from large and complicated datasets. It contains contributions on Bayesian methods, weak lensing cosmology, CMB data analysis, cross-correlating datasets, large-scale structure, data mining and machine learning, ongoing surveys and the future Euclid mission. The approaches presented here provide a solid foundation to advance new research methods in cosmology, making it an essential text for the large community of astronomers and statisticians who will analyse and interpret the vast and growing amount of observational data.
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Astronomie Kosmologie, Urknalltheorie
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Naturwissenschaften Physik Angewandte Physik Astrophysik
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
- Naturwissenschaften Astronomie Astrophysik
Weitere Infos & Material
Preface; The organizing committee; Participants; 1. Bayes; 2. Statistics; 3. Sparsity; 4. Weak lensing; 5. CMB; 6. Radio; 7. Joint probes; 8. LSS; 9. Data mining; 10. Survey; 11. Future projects; 12. Other; 13. Conclusions; Author index.
