Advanced Markov chain Monte Carlo methods: learning from past samples
Gespeichert in:
Format: | Elektronisch E-Book |
---|---|
Sprache: | English |
Veröffentlicht: |
Chichester, West Sussex, U.K.
Wiley
2010
|
Schriftenreihe: | Wiley series in computational statistics
|
Schlagworte: | |
Online-Zugang: | TUM01 Volltext |
Beschreibung: | Includes bibliographical references (p. [327]-352) and index |
Beschreibung: | 1 Online-Ressource (1 online resource (xix, 357 p.)) |
ISBN: | 0470748265 9780470748268 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV039938780 | ||
003 | DE-604 | ||
005 | 20140515 | ||
007 | cr|uuu---uuuuu | ||
008 | 120307s2010 |||| o||u| ||||||eng d | ||
020 | |a 0470748265 |c cloth |9 0-470-74826-5 | ||
020 | |a 9780470748268 |c cloth |9 978-0-470-74826-8 | ||
035 | |a (OCoLC)1039162021 | ||
035 | |a (DE-599)BVBBV039938780 | ||
040 | |a DE-604 |b ger |e aacr | ||
041 | 0 | |a eng | |
049 | |a DE-91 | ||
084 | |a SK 820 |0 (DE-625)143258: |2 rvk | ||
245 | 1 | 0 | |a Advanced Markov chain Monte Carlo methods |b learning from past samples |c Faming Liang, Chuanhai Liu, Raymond J. Carroll |
264 | 1 | |a Chichester, West Sussex, U.K. |b Wiley |c 2010 | |
300 | |a 1 Online-Ressource (1 online resource (xix, 357 p.)) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a Wiley series in computational statistics | |
500 | |a Includes bibliographical references (p. [327]-352) and index | ||
650 | 4 | |a Monte Carlo method | |
650 | 4 | |a Markov processes | |
700 | 1 | |a Liang, Faming |d 1970- |e Sonstige |0 (DE-588)130820547 |4 oth | |
700 | 1 | |a Liu, Chuanhai |d 1959- |e Sonstige |0 (DE-588)142196568 |4 oth | |
700 | 1 | |a Carroll, Raymond J. |d 1949- |e Sonstige |0 (DE-588)111805708 |4 oth | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Hardcover |z 0-470-74826-5 |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Hardcover |z 978-0-470-74826-8 |
856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/munchentech/detail.action?docID=555049 |x Aggregator |3 Volltext |
912 | |a ZDB-26-MYL | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-024796890 | ||
966 | e | |u https://ebookcentral.proquest.com/lib/munchentech/detail.action?docID=555049 |l TUM01 |p ZDB-26-MYL |q TUM_PDA_MIL_gekauft |x Aggregator |3 Volltext |
Datensatz im Suchindex
_version_ | 1804148906001432576 |
---|---|
any_adam_object | |
author_GND | (DE-588)130820547 (DE-588)142196568 (DE-588)111805708 |
building | Verbundindex |
bvnumber | BV039938780 |
classification_rvk | SK 820 |
collection | ZDB-26-MYL |
ctrlnum | (OCoLC)1039162021 (DE-599)BVBBV039938780 |
discipline | Mathematik |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01757nmm a2200409zc 4500</leader><controlfield tag="001">BV039938780</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20140515 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">120307s2010 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0470748265</subfield><subfield code="c">cloth</subfield><subfield code="9">0-470-74826-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780470748268</subfield><subfield code="c">cloth</subfield><subfield code="9">978-0-470-74826-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1039162021</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV039938780</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-91</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SK 820</subfield><subfield code="0">(DE-625)143258:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Advanced Markov chain Monte Carlo methods</subfield><subfield code="b">learning from past samples</subfield><subfield code="c">Faming Liang, Chuanhai Liu, Raymond J. Carroll</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Chichester, West Sussex, U.K.</subfield><subfield code="b">Wiley</subfield><subfield code="c">2010</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 online resource (xix, 357 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">Wiley series in computational statistics</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references (p. [327]-352) and index</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Monte Carlo method</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Markov processes</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liang, Faming</subfield><subfield code="d">1970-</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)130820547</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Chuanhai</subfield><subfield code="d">1959-</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)142196568</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Carroll, Raymond J.</subfield><subfield code="d">1949-</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)111805708</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Hardcover</subfield><subfield code="z">0-470-74826-5</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Hardcover</subfield><subfield code="z">978-0-470-74826-8</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ebookcentral.proquest.com/lib/munchentech/detail.action?docID=555049</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-26-MYL</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-024796890</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/munchentech/detail.action?docID=555049</subfield><subfield code="l">TUM01</subfield><subfield code="p">ZDB-26-MYL</subfield><subfield code="q">TUM_PDA_MIL_gekauft</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV039938780 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T00:14:34Z |
institution | BVB |
isbn | 0470748265 9780470748268 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-024796890 |
oclc_num | 1039162021 |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 Online-Ressource (1 online resource (xix, 357 p.)) |
psigel | ZDB-26-MYL ZDB-26-MYL TUM_PDA_MIL_gekauft |
publishDate | 2010 |
publishDateSearch | 2010 |
publishDateSort | 2010 |
publisher | Wiley |
record_format | marc |
series2 | Wiley series in computational statistics |
spelling | Advanced Markov chain Monte Carlo methods learning from past samples Faming Liang, Chuanhai Liu, Raymond J. Carroll Chichester, West Sussex, U.K. Wiley 2010 1 Online-Ressource (1 online resource (xix, 357 p.)) txt rdacontent c rdamedia cr rdacarrier Wiley series in computational statistics Includes bibliographical references (p. [327]-352) and index Monte Carlo method Markov processes Liang, Faming 1970- Sonstige (DE-588)130820547 oth Liu, Chuanhai 1959- Sonstige (DE-588)142196568 oth Carroll, Raymond J. 1949- Sonstige (DE-588)111805708 oth Erscheint auch als Druck-Ausgabe, Hardcover 0-470-74826-5 Erscheint auch als Druck-Ausgabe, Hardcover 978-0-470-74826-8 https://ebookcentral.proquest.com/lib/munchentech/detail.action?docID=555049 Aggregator Volltext |
spellingShingle | Advanced Markov chain Monte Carlo methods learning from past samples Monte Carlo method Markov processes |
title | Advanced Markov chain Monte Carlo methods learning from past samples |
title_auth | Advanced Markov chain Monte Carlo methods learning from past samples |
title_exact_search | Advanced Markov chain Monte Carlo methods learning from past samples |
title_full | Advanced Markov chain Monte Carlo methods learning from past samples Faming Liang, Chuanhai Liu, Raymond J. Carroll |
title_fullStr | Advanced Markov chain Monte Carlo methods learning from past samples Faming Liang, Chuanhai Liu, Raymond J. Carroll |
title_full_unstemmed | Advanced Markov chain Monte Carlo methods learning from past samples Faming Liang, Chuanhai Liu, Raymond J. Carroll |
title_short | Advanced Markov chain Monte Carlo methods |
title_sort | advanced markov chain monte carlo methods learning from past samples |
title_sub | learning from past samples |
topic | Monte Carlo method Markov processes |
topic_facet | Monte Carlo method Markov processes |
url | https://ebookcentral.proquest.com/lib/munchentech/detail.action?docID=555049 |
work_keys_str_mv | AT liangfaming advancedmarkovchainmontecarlomethodslearningfrompastsamples AT liuchuanhai advancedmarkovchainmontecarlomethodslearningfrompastsamples AT carrollraymondj advancedmarkovchainmontecarlomethodslearningfrompastsamples |