| 000 | 02432nam a22003618i 4500 | ||
|---|---|---|---|
| 001 | CR9781316182406 | ||
| 003 | UkCbUP | ||
| 005 | 20200124160338.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 140915s2018||||enk o ||1 0|eng|d | ||
| 020 | _a9781316182406 (ebook) | ||
| 020 | _z9781107102132 (hardback) | ||
| 020 | _z9781107499584 (paperback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
| 050 | 0 | 0 |
_aQB462.3 _b.C26 2014 |
| 082 | 0 | 0 |
_a523.0101/519542 _223 |
| 111 | 2 |
_aCanary Islands Winter School of Astrophysics _n(26th : _d2014 : _cLa Laguna, Canary Islands) |
|
| 245 | 1 | 0 |
_aBayesian astrophysics / _cedited by Andrés Asensio Ramos, Instituto de Astrofísica de Canarias, Tenerife and Iñigo Arregui, Instituto de Astrofísica de Canarias, Tenerife. |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2018. |
|
| 300 |
_a1 online resource (xiii, 194 pages) : _bdigital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 1 |
_aCanary Islands Winter School of Astrophysics ; _vvolume XXVI |
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| 500 | _aTitle from publisher's bibliographic system (viewed on 27 Apr 2018). | ||
| 520 | _aBayesian 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. | ||
| 700 | 1 |
_aAsensio Ramos, Andrés, _eeditor. |
|
| 700 | 1 |
_aArregui, Íñigo, _eeditor. |
|
| 776 | 0 | 8 |
_iPrint version: _z9781107102132 |
| 830 | 0 |
_aCanary Islands Winter School of Astrophysics (Series) ; _vv. 26. |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/9781316182406 |
| 999 |
_c523260 _d523258 |
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