Bayesian models for astrophysical data: using R, JAGS, Python, and Stan
This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adapt. It begins by examining the normal model from both frequentist and Bayesian perspectives and then progresses to a full range of Bayesian g...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2017
|
| Subjects: | |
| Online Access: | BSB01 FHN01 UER01 Volltext |
| Summary: | This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adapt. It begins by examining the normal model from both frequentist and Bayesian perspectives and then progresses to a full range of Bayesian generalized linear and mixed or hierarchical models, as well as additional types of models such as ABC and INLA. The book provides code that is largely unavailable elsewhere and includes details on interpreting and evaluating Bayesian models. Initial discussions offer models in synthetic form so that readers can easily adapt them to their own data; later the models are applied to real astronomical data. The consistent focus is on hands-on modeling, analysis of data, and interpretations that address scientific questions. A must-have for astronomers, its concrete approach will also be attractive to researchers in the sciences more generally |
| Item Description: | Title from publisher's bibliographic system (viewed on 25 May 2017) |
| Physical Description: | 1 online resource (xvii, 393 pages) |
| ISBN: | 9781316459515 |
| DOI: | 10.1017/CBO9781316459515 |
Staff View
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV044447846 | ||
| 003 | DE-604 | ||
| 005 | 20200629 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 170811s2017 |||| o||u| ||||||eng d | ||
| 020 | |a 9781316459515 |9 978-1-316-45951-5 | ||
| 024 | 7 | |a 10.1017/CBO9781316459515 |2 doi | |
| 035 | |a (ZDB-20-CBO)CR9781316459515 | ||
| 035 | |a (OCoLC)993875199 | ||
| 035 | |a (DE-599)BVBBV044447846 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-12 |a DE-29 |a DE-92 | ||
| 082 | 0 | |a 520.1/519542 | |
| 084 | |a SK 830 |0 (DE-625)143259: |2 rvk | ||
| 084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
| 084 | |a US 2000 |0 (DE-625)146681: |2 rvk | ||
| 100 | 1 | |a Hilbe, Joseph M. |d 1944-2017 |e Verfasser |0 (DE-588)128751851 |4 aut | |
| 245 | 1 | 0 | |a Bayesian models for astrophysical data |b using R, JAGS, Python, and Stan |c Joseph M. Hilbe, Rafael S. de Souza, Emille E.O. Ishida |
| 264 | 1 | |a Cambridge |b Cambridge University Press |c 2017 | |
| 300 | |a 1 online resource (xvii, 393 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Title from publisher's bibliographic system (viewed on 25 May 2017) | ||
| 520 | |a This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adapt. It begins by examining the normal model from both frequentist and Bayesian perspectives and then progresses to a full range of Bayesian generalized linear and mixed or hierarchical models, as well as additional types of models such as ABC and INLA. The book provides code that is largely unavailable elsewhere and includes details on interpreting and evaluating Bayesian models. Initial discussions offer models in synthetic form so that readers can easily adapt them to their own data; later the models are applied to real astronomical data. The consistent focus is on hands-on modeling, analysis of data, and interpretations that address scientific questions. A must-have for astronomers, its concrete approach will also be attractive to researchers in the sciences more generally | ||
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a Statistical astronomy | |
| 650 | 4 | |a Statistical astronomy / Data processing | |
| 650 | 4 | |a Astronomy / Data processing | |
| 650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Bayes-Verfahren |0 (DE-588)4204326-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Astronomie |0 (DE-588)4003311-9 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Astronomie |0 (DE-588)4003311-9 |D s |
| 689 | 0 | 1 | |a Datenanalyse |0 (DE-588)4123037-1 |D s |
| 689 | 0 | 2 | |a Bayes-Verfahren |0 (DE-588)4204326-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Souza, Rafael S. de |e Verfasser |0 (DE-588)1134896271 |4 aut | |
| 700 | 1 | |a Ishida, Emille E. O. |e Verfasser |0 (DE-588)1134897197 |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, hardback |z 978-1-107-13308-2 |
| 856 | 4 | 0 | |u https://doi.org/10.1017/CBO9781316459515 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-20-CBO | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-029848847 | ||
| 966 | e | |u https://doi.org/10.1017/CBO9781316459515 |l BSB01 |p ZDB-20-CBO |q BSB_PDA_CBO |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1017/CBO9781316459515 |l FHN01 |p ZDB-20-CBO |q FHN_PDA_CBO |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1017/CBO9781316459515 |l UER01 |p ZDB-20-CBO |q UER_PDA_CBO_Kauf |x Verlag |3 Volltext | |
Record in the Search Index
| _version_ | 1804177762016034816 |
|---|---|
| any_adam_object | |
| author | Hilbe, Joseph M. 1944-2017 Souza, Rafael S. de Ishida, Emille E. O. |
| author_GND | (DE-588)128751851 (DE-588)1134896271 (DE-588)1134897197 |
| author_facet | Hilbe, Joseph M. 1944-2017 Souza, Rafael S. de Ishida, Emille E. O. |
| author_role | aut aut aut |
| author_sort | Hilbe, Joseph M. 1944-2017 |
| author_variant | j m h jm jmh r s d s rsd rsds e e o i eeo eeoi |
| building | Verbundindex |
| bvnumber | BV044447846 |
| classification_rvk | SK 830 ST 250 US 2000 |
| collection | ZDB-20-CBO |
| ctrlnum | (ZDB-20-CBO)CR9781316459515 (OCoLC)993875199 (DE-599)BVBBV044447846 |
| dewey-full | 520.1/519542 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 520 - Astronomy and allied sciences |
| dewey-raw | 520.1/519542 |
| dewey-search | 520.1/519542 |
| dewey-sort | 3520.1 6519542 |
| dewey-tens | 520 - Astronomy and allied sciences |
| discipline | Physik Informatik Mathematik |
| doi_str_mv | 10.1017/CBO9781316459515 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03391nmm a2200577zc 4500</leader><controlfield tag="001">BV044447846</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20200629 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">170811s2017 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781316459515</subfield><subfield code="9">978-1-316-45951-5</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1017/CBO9781316459515</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-20-CBO)CR9781316459515</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)993875199</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV044447846</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-12</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-92</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">520.1/519542</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SK 830</subfield><subfield code="0">(DE-625)143259:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 250</subfield><subfield code="0">(DE-625)143626:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">US 2000</subfield><subfield code="0">(DE-625)146681:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Hilbe, Joseph M.</subfield><subfield code="d">1944-2017</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)128751851</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Bayesian models for astrophysical data</subfield><subfield code="b">using R, JAGS, Python, and Stan</subfield><subfield code="c">Joseph M. Hilbe, Rafael S. de Souza, Emille E.O. Ishida</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (xvii, 393 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Title from publisher's bibliographic system (viewed on 25 May 2017)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adapt. It begins by examining the normal model from both frequentist and Bayesian perspectives and then progresses to a full range of Bayesian generalized linear and mixed or hierarchical models, as well as additional types of models such as ABC and INLA. The book provides code that is largely unavailable elsewhere and includes details on interpreting and evaluating Bayesian models. Initial discussions offer models in synthetic form so that readers can easily adapt them to their own data; later the models are applied to real astronomical data. The consistent focus is on hands-on modeling, analysis of data, and interpretations that address scientific questions. A must-have for astronomers, its concrete approach will also be attractive to researchers in the sciences more generally</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Datenverarbeitung</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistical astronomy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistical astronomy / Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Astronomy / Data processing</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bayes-Verfahren</subfield><subfield code="0">(DE-588)4204326-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Astronomie</subfield><subfield code="0">(DE-588)4003311-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Astronomie</subfield><subfield code="0">(DE-588)4003311-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Bayes-Verfahren</subfield><subfield code="0">(DE-588)4204326-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Souza, Rafael S. de</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1134896271</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ishida, Emille E. O.</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1134897197</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, hardback</subfield><subfield code="z">978-1-107-13308-2</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1017/CBO9781316459515</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CBO</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-029848847</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9781316459515</subfield><subfield code="l">BSB01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">BSB_PDA_CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9781316459515</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">FHN_PDA_CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9781316459515</subfield><subfield code="l">UER01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">UER_PDA_CBO_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV044447846 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:53:13Z |
| institution | BVB |
| isbn | 9781316459515 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029848847 |
| oclc_num | 993875199 |
| open_access_boolean | |
| owner | DE-12 DE-29 DE-92 |
| owner_facet | DE-12 DE-29 DE-92 |
| physical | 1 online resource (xvii, 393 pages) |
| psigel | ZDB-20-CBO ZDB-20-CBO BSB_PDA_CBO ZDB-20-CBO FHN_PDA_CBO ZDB-20-CBO UER_PDA_CBO_Kauf |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Cambridge University Press |
| record_format | marc |
| spelling | Hilbe, Joseph M. 1944-2017 Verfasser (DE-588)128751851 aut Bayesian models for astrophysical data using R, JAGS, Python, and Stan Joseph M. Hilbe, Rafael S. de Souza, Emille E.O. Ishida Cambridge Cambridge University Press 2017 1 online resource (xvii, 393 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 25 May 2017) This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adapt. It begins by examining the normal model from both frequentist and Bayesian perspectives and then progresses to a full range of Bayesian generalized linear and mixed or hierarchical models, as well as additional types of models such as ABC and INLA. The book provides code that is largely unavailable elsewhere and includes details on interpreting and evaluating Bayesian models. Initial discussions offer models in synthetic form so that readers can easily adapt them to their own data; later the models are applied to real astronomical data. The consistent focus is on hands-on modeling, analysis of data, and interpretations that address scientific questions. A must-have for astronomers, its concrete approach will also be attractive to researchers in the sciences more generally Datenverarbeitung Statistical astronomy Statistical astronomy / Data processing Astronomy / Data processing Datenanalyse (DE-588)4123037-1 gnd rswk-swf Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf Astronomie (DE-588)4003311-9 gnd rswk-swf Astronomie (DE-588)4003311-9 s Datenanalyse (DE-588)4123037-1 s Bayes-Verfahren (DE-588)4204326-8 s DE-604 Souza, Rafael S. de Verfasser (DE-588)1134896271 aut Ishida, Emille E. O. Verfasser (DE-588)1134897197 aut Erscheint auch als Druck-Ausgabe, hardback 978-1-107-13308-2 https://doi.org/10.1017/CBO9781316459515 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Hilbe, Joseph M. 1944-2017 Souza, Rafael S. de Ishida, Emille E. O. Bayesian models for astrophysical data using R, JAGS, Python, and Stan Datenverarbeitung Statistical astronomy Statistical astronomy / Data processing Astronomy / Data processing Datenanalyse (DE-588)4123037-1 gnd Bayes-Verfahren (DE-588)4204326-8 gnd Astronomie (DE-588)4003311-9 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4204326-8 (DE-588)4003311-9 |
| title | Bayesian models for astrophysical data using R, JAGS, Python, and Stan |
| title_auth | Bayesian models for astrophysical data using R, JAGS, Python, and Stan |
| title_exact_search | Bayesian models for astrophysical data using R, JAGS, Python, and Stan |
| title_full | Bayesian models for astrophysical data using R, JAGS, Python, and Stan Joseph M. Hilbe, Rafael S. de Souza, Emille E.O. Ishida |
| title_fullStr | Bayesian models for astrophysical data using R, JAGS, Python, and Stan Joseph M. Hilbe, Rafael S. de Souza, Emille E.O. Ishida |
| title_full_unstemmed | Bayesian models for astrophysical data using R, JAGS, Python, and Stan Joseph M. Hilbe, Rafael S. de Souza, Emille E.O. Ishida |
| title_short | Bayesian models for astrophysical data |
| title_sort | bayesian models for astrophysical data using r jags python and stan |
| title_sub | using R, JAGS, Python, and Stan |
| topic | Datenverarbeitung Statistical astronomy Statistical astronomy / Data processing Astronomy / Data processing Datenanalyse (DE-588)4123037-1 gnd Bayes-Verfahren (DE-588)4204326-8 gnd Astronomie (DE-588)4003311-9 gnd |
| topic_facet | Datenverarbeitung Statistical astronomy Statistical astronomy / Data processing Astronomy / Data processing Datenanalyse Bayes-Verfahren Astronomie |
| url | https://doi.org/10.1017/CBO9781316459515 |
| work_keys_str_mv | AT hilbejosephm bayesianmodelsforastrophysicaldatausingrjagspythonandstan AT souzarafaelsde bayesianmodelsforastrophysicaldatausingrjagspythonandstan AT ishidaemilleeo bayesianmodelsforastrophysicaldatausingrjagspythonandstan |