Latent variable augmentation for approximate Bayesian inference: applications for Gaussian processses
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Abschlussarbeit Buch |
Sprache: | English |
Veröffentlicht: |
Berlin
2023
|
Schlagworte: | |
Online-Zugang: | kostenfrei |
Beschreibung: | Enthält 5 Sonderdrucke aus verschiedenen Zeitschriften |
Beschreibung: | xiii, 136 Blätter Illustrationen, Diagramme |
DOI: | 10.14279/depositonce-17605 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV048975838 | ||
003 | DE-604 | ||
005 | 20230613 | ||
007 | t | ||
008 | 230526s2023 a||| m||| 00||| eng d | ||
035 | |a (OCoLC)1381308998 | ||
035 | |a (DE-599)BVBBV048975838 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-83 | ||
084 | |a SK 830 |0 (DE-625)143259: |2 rvk | ||
100 | 1 | |a Galy-Fajou, Théo |e Verfasser |0 (DE-588)1292618981 |4 aut | |
245 | 1 | 0 | |a Latent variable augmentation for approximate Bayesian inference |b applications for Gaussian processses |c vorgelegt von M. Sc. Théo Galy-Fajou |
264 | 1 | |a Berlin |c 2023 | |
300 | |a xiii, 136 Blätter |b Illustrationen, Diagramme | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
500 | |a Enthält 5 Sonderdrucke aus verschiedenen Zeitschriften | ||
502 | |b Dissertation |c Technische Universität Berlin |d 2022 | ||
650 | 0 | 7 | |a Statistische Schlussweise |0 (DE-588)4182963-3 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Gibbs-sampling |0 (DE-588)4352359-6 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Bayes-Modell |0 (DE-588)1278609571 |2 gnd |9 rswk-swf |
655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
689 | 0 | 0 | |a Bayes-Modell |0 (DE-588)1278609571 |D s |
689 | 0 | 1 | |a Statistische Schlussweise |0 (DE-588)4182963-3 |D s |
689 | 0 | 2 | |a Gibbs-sampling |0 (DE-588)4352359-6 |D s |
689 | 0 | |5 DE-604 | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |o 10.14279/depositonce-17605 |w (DE-604)BV048975842 |
856 | 4 | 1 | |u https://doi.org/10.14279/depositonce-17605 |x Resolving-System |z kostenfrei |3 Volltext |
912 | |a ebook | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-034239388 |
Datensatz im Suchindex
_version_ | 1804185219256811520 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Galy-Fajou, Théo |
author_GND | (DE-588)1292618981 |
author_facet | Galy-Fajou, Théo |
author_role | aut |
author_sort | Galy-Fajou, Théo |
author_variant | t g f tgf |
building | Verbundindex |
bvnumber | BV048975838 |
classification_rvk | SK 830 |
collection | ebook |
ctrlnum | (OCoLC)1381308998 (DE-599)BVBBV048975838 |
discipline | Mathematik |
discipline_str_mv | Mathematik |
doi_str_mv | 10.14279/depositonce-17605 |
format | Thesis Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01642nam a2200409 c 4500</leader><controlfield tag="001">BV048975838</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20230613 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">230526s2023 a||| m||| 00||| eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1381308998</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048975838</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-83</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="100" ind1="1" ind2=" "><subfield code="a">Galy-Fajou, Théo</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1292618981</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Latent variable augmentation for approximate Bayesian inference</subfield><subfield code="b">applications for Gaussian processses</subfield><subfield code="c">vorgelegt von M. Sc. Théo Galy-Fajou</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin</subfield><subfield code="c">2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xiii, 136 Blätter</subfield><subfield code="b">Illustrationen, Diagramme</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">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Enthält 5 Sonderdrucke aus verschiedenen Zeitschriften</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="b">Dissertation</subfield><subfield code="c">Technische Universität Berlin</subfield><subfield code="d">2022</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Statistische Schlussweise</subfield><subfield code="0">(DE-588)4182963-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Gibbs-sampling</subfield><subfield code="0">(DE-588)4352359-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bayes-Modell</subfield><subfield code="0">(DE-588)1278609571</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Bayes-Modell</subfield><subfield code="0">(DE-588)1278609571</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Statistische Schlussweise</subfield><subfield code="0">(DE-588)4182963-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Gibbs-sampling</subfield><subfield code="0">(DE-588)4352359-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="o">10.14279/depositonce-17605</subfield><subfield code="w">(DE-604)BV048975842</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.14279/depositonce-17605</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ebook</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034239388</subfield></datafield></record></collection> |
genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
genre_facet | Hochschulschrift |
id | DE-604.BV048975838 |
illustrated | Illustrated |
index_date | 2024-07-03T22:03:57Z |
indexdate | 2024-07-10T09:51:45Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034239388 |
oclc_num | 1381308998 |
open_access_boolean | 1 |
owner | DE-83 |
owner_facet | DE-83 |
physical | xiii, 136 Blätter Illustrationen, Diagramme |
psigel | ebook |
publishDate | 2023 |
publishDateSearch | 2023 |
publishDateSort | 2023 |
record_format | marc |
spelling | Galy-Fajou, Théo Verfasser (DE-588)1292618981 aut Latent variable augmentation for approximate Bayesian inference applications for Gaussian processses vorgelegt von M. Sc. Théo Galy-Fajou Berlin 2023 xiii, 136 Blätter Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Enthält 5 Sonderdrucke aus verschiedenen Zeitschriften Dissertation Technische Universität Berlin 2022 Statistische Schlussweise (DE-588)4182963-3 gnd rswk-swf Gibbs-sampling (DE-588)4352359-6 gnd rswk-swf Bayes-Modell (DE-588)1278609571 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Bayes-Modell (DE-588)1278609571 s Statistische Schlussweise (DE-588)4182963-3 s Gibbs-sampling (DE-588)4352359-6 s DE-604 Erscheint auch als Online-Ausgabe 10.14279/depositonce-17605 (DE-604)BV048975842 https://doi.org/10.14279/depositonce-17605 Resolving-System kostenfrei Volltext |
spellingShingle | Galy-Fajou, Théo Latent variable augmentation for approximate Bayesian inference applications for Gaussian processses Statistische Schlussweise (DE-588)4182963-3 gnd Gibbs-sampling (DE-588)4352359-6 gnd Bayes-Modell (DE-588)1278609571 gnd |
subject_GND | (DE-588)4182963-3 (DE-588)4352359-6 (DE-588)1278609571 (DE-588)4113937-9 |
title | Latent variable augmentation for approximate Bayesian inference applications for Gaussian processses |
title_auth | Latent variable augmentation for approximate Bayesian inference applications for Gaussian processses |
title_exact_search | Latent variable augmentation for approximate Bayesian inference applications for Gaussian processses |
title_exact_search_txtP | Latent variable augmentation for approximate Bayesian inference applications for Gaussian processses |
title_full | Latent variable augmentation for approximate Bayesian inference applications for Gaussian processses vorgelegt von M. Sc. Théo Galy-Fajou |
title_fullStr | Latent variable augmentation for approximate Bayesian inference applications for Gaussian processses vorgelegt von M. Sc. Théo Galy-Fajou |
title_full_unstemmed | Latent variable augmentation for approximate Bayesian inference applications for Gaussian processses vorgelegt von M. Sc. Théo Galy-Fajou |
title_short | Latent variable augmentation for approximate Bayesian inference |
title_sort | latent variable augmentation for approximate bayesian inference applications for gaussian processses |
title_sub | applications for Gaussian processses |
topic | Statistische Schlussweise (DE-588)4182963-3 gnd Gibbs-sampling (DE-588)4352359-6 gnd Bayes-Modell (DE-588)1278609571 gnd |
topic_facet | Statistische Schlussweise Gibbs-sampling Bayes-Modell Hochschulschrift |
url | https://doi.org/10.14279/depositonce-17605 |
work_keys_str_mv | AT galyfajoutheo latentvariableaugmentationforapproximatebayesianinferenceapplicationsforgaussianprocessses |