The Bayesian Choice: A Decision-Theoretic Motivation
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
1994
|
Schriftenreihe: | Springer Texts in Statistics
|
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | From where we stand, the rain seems random. If we could stand somewhere else, we would see the order in it. - T. Hillerman (1990) Coyote Waits. Harper-Collins, New York. This book stemmed from a translation of a French version that was written to supplement the gap in the French statistical literature about Bayesian Analysis and Decision Theory. As a result, its scope is wide enough to cover the two years of the French graduate Statistics curriculum and, more generally, most graduate programs. This book builds on very little prerequisites in Statistics and only requires basic skills in calculus, measure theory, and probability. Intended as a preparation of Ph. D. students, this book goes far enough to cover advanced topics and modern developments of Bayesian Statistics (complete class theorems, the Stein effect, hierarchical and empirical modelings, Gibbs sampling, etc. ). As usual, what started as a translation eventually ended up as a deeper revision, because of the comments of French readers, of adjustments to the different needs of American programs, and also because my perception of things has slightly changed in the meantime. As a result, this new version is quite adequate for a general graduate audience of an American university |
Beschreibung: | 1 Online-Ressource (XIV, 437 p) |
ISBN: | 9781475743142 9781475743166 |
ISSN: | 1431-875X |
DOI: | 10.1007/978-1-4757-4314-2 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV042421606 | ||
003 | DE-604 | ||
005 | 20171218 | ||
007 | cr|uuu---uuuuu | ||
008 | 150317s1994 |||| o||u| ||||||eng d | ||
020 | |a 9781475743142 |c Online |9 978-1-4757-4314-2 | ||
020 | |a 9781475743166 |c Print |9 978-1-4757-4316-6 | ||
024 | 7 | |a 10.1007/978-1-4757-4314-2 |2 doi | |
035 | |a (OCoLC)864002497 | ||
035 | |a (DE-599)BVBBV042421606 | ||
040 | |a DE-604 |b ger |e aacr | ||
041 | 0 | |a eng | |
049 | |a DE-384 |a DE-703 |a DE-91 |a DE-634 | ||
082 | 0 | |a 519.2 |2 23 | |
084 | |a MAT 000 |2 stub | ||
100 | 1 | |a Robert, Christian P. |e Verfasser |4 aut | |
245 | 1 | 0 | |a The Bayesian Choice |b A Decision-Theoretic Motivation |c by Christian P. Robert |
264 | 1 | |a New York, NY |b Springer New York |c 1994 | |
300 | |a 1 Online-Ressource (XIV, 437 p) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a Springer Texts in Statistics |x 1431-875X | |
500 | |a From where we stand, the rain seems random. If we could stand somewhere else, we would see the order in it. - T. Hillerman (1990) Coyote Waits. Harper-Collins, New York. This book stemmed from a translation of a French version that was written to supplement the gap in the French statistical literature about Bayesian Analysis and Decision Theory. As a result, its scope is wide enough to cover the two years of the French graduate Statistics curriculum and, more generally, most graduate programs. This book builds on very little prerequisites in Statistics and only requires basic skills in calculus, measure theory, and probability. Intended as a preparation of Ph. D. students, this book goes far enough to cover advanced topics and modern developments of Bayesian Statistics (complete class theorems, the Stein effect, hierarchical and empirical modelings, Gibbs sampling, etc. ). As usual, what started as a translation eventually ended up as a deeper revision, because of the comments of French readers, of adjustments to the different needs of American programs, and also because my perception of things has slightly changed in the meantime. As a result, this new version is quite adequate for a general graduate audience of an American university | ||
650 | 4 | |a Mathematics | |
650 | 4 | |a Distribution (Probability theory) | |
650 | 4 | |a Probability Theory and Stochastic Processes | |
650 | 4 | |a Mathematik | |
650 | 0 | 7 | |a CD-ROM |0 (DE-588)4139307-7 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Bayes-Entscheidungstheorie |0 (DE-588)4144220-9 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Bayes-Verfahren |0 (DE-588)4204326-8 |2 gnd |9 rswk-swf |
655 | 7 | |8 1\p |0 (DE-588)4123623-3 |a Lehrbuch |2 gnd-content | |
689 | 0 | 0 | |a Bayes-Entscheidungstheorie |0 (DE-588)4144220-9 |D s |
689 | 0 | 1 | |a CD-ROM |0 (DE-588)4139307-7 |D s |
689 | 0 | |8 2\p |5 DE-604 | |
689 | 1 | 0 | |a Bayes-Entscheidungstheorie |0 (DE-588)4144220-9 |D s |
689 | 1 | 1 | |a Bayes-Verfahren |0 (DE-588)4204326-8 |D s |
689 | 1 | |8 3\p |5 DE-604 | |
856 | 4 | 0 | |u https://doi.org/10.1007/978-1-4757-4314-2 |x Verlag |3 Volltext |
912 | |a ZDB-2-SMA |a ZDB-2-BAE | ||
940 | 1 | |q ZDB-2-SMA_Archive | |
999 | |a oai:aleph.bib-bvb.de:BVB01-027857023 | ||
883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
883 | 1 | |8 3\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk |
Datensatz im Suchindex
_version_ | 1804153094857031680 |
---|---|
any_adam_object | |
author | Robert, Christian P. |
author_facet | Robert, Christian P. |
author_role | aut |
author_sort | Robert, Christian P. |
author_variant | c p r cp cpr |
building | Verbundindex |
bvnumber | BV042421606 |
classification_tum | MAT 000 |
collection | ZDB-2-SMA ZDB-2-BAE |
ctrlnum | (OCoLC)864002497 (DE-599)BVBBV042421606 |
dewey-full | 519.2 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.2 |
dewey-search | 519.2 |
dewey-sort | 3519.2 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
doi_str_mv | 10.1007/978-1-4757-4314-2 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03407nmm a2200565zc 4500</leader><controlfield tag="001">BV042421606</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20171218 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">150317s1994 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781475743142</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-4757-4314-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781475743166</subfield><subfield code="c">Print</subfield><subfield code="9">978-1-4757-4316-6</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-1-4757-4314-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)864002497</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042421606</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-384</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.2</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">MAT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Robert, Christian P.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">The Bayesian Choice</subfield><subfield code="b">A Decision-Theoretic Motivation</subfield><subfield code="c">by Christian P. Robert</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York, NY</subfield><subfield code="b">Springer New York</subfield><subfield code="c">1994</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XIV, 437 p)</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="490" ind1="0" ind2=" "><subfield code="a">Springer Texts in Statistics</subfield><subfield code="x">1431-875X</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">From where we stand, the rain seems random. If we could stand somewhere else, we would see the order in it. - T. Hillerman (1990) Coyote Waits. Harper-Collins, New York. This book stemmed from a translation of a French version that was written to supplement the gap in the French statistical literature about Bayesian Analysis and Decision Theory. As a result, its scope is wide enough to cover the two years of the French graduate Statistics curriculum and, more generally, most graduate programs. This book builds on very little prerequisites in Statistics and only requires basic skills in calculus, measure theory, and probability. Intended as a preparation of Ph. D. students, this book goes far enough to cover advanced topics and modern developments of Bayesian Statistics (complete class theorems, the Stein effect, hierarchical and empirical modelings, Gibbs sampling, etc. ). As usual, what started as a translation eventually ended up as a deeper revision, because of the comments of French readers, of adjustments to the different needs of American programs, and also because my perception of things has slightly changed in the meantime. As a result, this new version is quite adequate for a general graduate audience of an American university</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Distribution (Probability theory)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Probability Theory and Stochastic Processes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematik</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">CD-ROM</subfield><subfield code="0">(DE-588)4139307-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bayes-Entscheidungstheorie</subfield><subfield code="0">(DE-588)4144220-9</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="655" ind1=" " ind2="7"><subfield code="8">1\p</subfield><subfield code="0">(DE-588)4123623-3</subfield><subfield code="a">Lehrbuch</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Bayes-Entscheidungstheorie</subfield><subfield code="0">(DE-588)4144220-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">CD-ROM</subfield><subfield code="0">(DE-588)4139307-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Bayes-Entscheidungstheorie</subfield><subfield code="0">(DE-588)4144220-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Bayes-Verfahren</subfield><subfield code="0">(DE-588)4204326-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="8">3\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-1-4757-4314-2</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-SMA</subfield><subfield code="a">ZDB-2-BAE</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-SMA_Archive</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-027857023</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield></record></collection> |
genre | 1\p (DE-588)4123623-3 Lehrbuch gnd-content |
genre_facet | Lehrbuch |
id | DE-604.BV042421606 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T01:21:09Z |
institution | BVB |
isbn | 9781475743142 9781475743166 |
issn | 1431-875X |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027857023 |
oclc_num | 864002497 |
open_access_boolean | |
owner | DE-384 DE-703 DE-91 DE-BY-TUM DE-634 |
owner_facet | DE-384 DE-703 DE-91 DE-BY-TUM DE-634 |
physical | 1 Online-Ressource (XIV, 437 p) |
psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
publishDate | 1994 |
publishDateSearch | 1994 |
publishDateSort | 1994 |
publisher | Springer New York |
record_format | marc |
series2 | Springer Texts in Statistics |
spelling | Robert, Christian P. Verfasser aut The Bayesian Choice A Decision-Theoretic Motivation by Christian P. Robert New York, NY Springer New York 1994 1 Online-Ressource (XIV, 437 p) txt rdacontent c rdamedia cr rdacarrier Springer Texts in Statistics 1431-875X From where we stand, the rain seems random. If we could stand somewhere else, we would see the order in it. - T. Hillerman (1990) Coyote Waits. Harper-Collins, New York. This book stemmed from a translation of a French version that was written to supplement the gap in the French statistical literature about Bayesian Analysis and Decision Theory. As a result, its scope is wide enough to cover the two years of the French graduate Statistics curriculum and, more generally, most graduate programs. This book builds on very little prerequisites in Statistics and only requires basic skills in calculus, measure theory, and probability. Intended as a preparation of Ph. D. students, this book goes far enough to cover advanced topics and modern developments of Bayesian Statistics (complete class theorems, the Stein effect, hierarchical and empirical modelings, Gibbs sampling, etc. ). As usual, what started as a translation eventually ended up as a deeper revision, because of the comments of French readers, of adjustments to the different needs of American programs, and also because my perception of things has slightly changed in the meantime. As a result, this new version is quite adequate for a general graduate audience of an American university Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik CD-ROM (DE-588)4139307-7 gnd rswk-swf Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd rswk-swf Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Bayes-Entscheidungstheorie (DE-588)4144220-9 s CD-ROM (DE-588)4139307-7 s 2\p DE-604 Bayes-Verfahren (DE-588)4204326-8 s 3\p DE-604 https://doi.org/10.1007/978-1-4757-4314-2 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Robert, Christian P. The Bayesian Choice A Decision-Theoretic Motivation Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik CD-ROM (DE-588)4139307-7 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
subject_GND | (DE-588)4139307-7 (DE-588)4144220-9 (DE-588)4204326-8 (DE-588)4123623-3 |
title | The Bayesian Choice A Decision-Theoretic Motivation |
title_auth | The Bayesian Choice A Decision-Theoretic Motivation |
title_exact_search | The Bayesian Choice A Decision-Theoretic Motivation |
title_full | The Bayesian Choice A Decision-Theoretic Motivation by Christian P. Robert |
title_fullStr | The Bayesian Choice A Decision-Theoretic Motivation by Christian P. Robert |
title_full_unstemmed | The Bayesian Choice A Decision-Theoretic Motivation by Christian P. Robert |
title_short | The Bayesian Choice |
title_sort | the bayesian choice a decision theoretic motivation |
title_sub | A Decision-Theoretic Motivation |
topic | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik CD-ROM (DE-588)4139307-7 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
topic_facet | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik CD-ROM Bayes-Entscheidungstheorie Bayes-Verfahren Lehrbuch |
url | https://doi.org/10.1007/978-1-4757-4314-2 |
work_keys_str_mv | AT robertchristianp thebayesianchoiceadecisiontheoreticmotivation |