000 -LEADER |
fixed length control field |
01644 a2200229 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20190114145555.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
190104b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
ISBN |
9781107102132 |
040 ## - CATALOGING SOURCE |
Transcribing agency |
IIT Kanpur |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
eng |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
523.0101 |
Item number |
B341 |
245 ## - TITLE STATEMENT |
Title |
Bayesian astrophysics |
Statement of responsibility, etc |
edited by Andres Asensio Ramos and Ingio Arregui |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher |
Cambridge University Press |
Year of publication |
2018 |
Place of publication |
New York |
300 ## - PHYSICAL DESCRIPTION |
Number of Pages |
xiii, 194p |
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
Canary islands winter school of astrophysics |
490 ## - SERIES STATEMENT |
Series statement |
/ edited by Rafael Rebolo; v. 26 |
520 ## - SUMMARY, ETC. |
Summary, etc |
Bayesian methods are being increasingly employed in many different areas of research in the physical sciences. In astrophysics, models are used to make predictions to be compared to observations. These observations offer information that is incomplete and uncertain, so the comparison has to be pursued by following a probabilistic approach. With contributions from leading experts, this volume covers the foundations of Bayesian inference, a description of computational methods, and recent results from their application to areas such as exoplanet detection and characterisation, image reconstruction, and cosmology. It appeals to both young researchers seeking to learn about Bayesian methods as well as to astronomers wishing to incorporate these approaches in their research areas. It provides the next generation of researchers with the tools of modern data analysis that are already becoming standard in current astrophysical research. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
Bayesian statistical decision theory |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Ramos, Andres Asensio [ed.] |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Arregui, Inigo [ed.] |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Books |