Holdings: Statistical data science

Statistical data science:

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Bibliographic Details
Corporate Author:	Conference "Statistical Data Science" London (Author)
Other Authors:	Adams, Niall M. 1968- (Editor), Cohen, Edward (Editor)
Format:	Conference Proceeding Book
Language:	English
Published:	New Jersey World Scientific 2018
Subjects:	Data mining Mathematical statistics Data Mining Statistik Konferenzschrift > 2017 > London
Online Access:	Inhaltsverzeichnis
Item Description:	Includes bibliographical references. - Preface: "This volume is a collection of papers related to the conference "Statistical Data Sciene" held in July 2017 at both Imperial College London and Winton's head office in London"
Physical Description:	182 Seiten Illustrationen, Diagramme
ISBN:	9781786345394

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MARC


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Record in the Search Index

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adam_text	Contents Preface v 1. Does Data Science Need Statistics? 1 William Oxbury 2. Principled Statistical Inference in Data Science 21 Todd A. Kuffner and G. Alastair Young 3. Evaluating Statistical and Machine Learning Supervised Classification Methods 37 David J. Hand 4. Diversity as a Response to User Preference Uncertainty 55 James Edwards and David Leslie 5. L-kernel Density Estimation for Bayesian Model Selection 69 Mark Briers 6. Bayesian Numerical Methods as a Case Study for Statistical Data Science 99 François-Xavier Briol and Mark Girolami IX X Contents 7. Phylogenetic Gaussian Processes for Bat Echolocation 111 J. P. Meagher, T, Damoulas, K. E. Jones and M. Girolami 8. Reconstruction of Three-Dimensional Porous Media: Statistical or Deep Learning Approach? 125 Lukas Mosser, Thomas Le Blevec and Olivier Dubrule 9. Using Data-Driven Uncertainty Quantification to Support Decision Making 141 Charlie Vollmer, Matt Peterson, David J. Stracuzzi and Maximillian G. Chen 10. Blending Data Science and Statistics across Government 155 Owen Abbott, Philip Lee, Matthew Upson, Matthew Gregory and Dawn Duhaney 11. Dynamic Factor Modelling with Spatially Multi-scale Structures for Spatio-temporal Data 167 Takamitsu Araki and Shotaro Akaho Index 181
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author2	Adams, Niall M. 1968- Cohen, Edward
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author_sort	Conference "Statistical Data Science" London
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ctrlnum	(OCoLC)1045420994 (DE-599)BVBBV045059453
dewey-full	006.3/12
dewey-hundreds	000 - Computer science, information, general works
dewey-ones	006 - Special computer methods
dewey-raw	006.3/12
dewey-search	006.3/12
dewey-sort	16.3 212
dewey-tens	000 - Computer science, information, general works
discipline	Informatik Mathematik
format	Conference Proceeding Book
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genre_facet	Konferenzschrift 2017 London
id	DE-604.BV045059453
illustrated	Illustrated
indexdate	2024-07-10T08:07:28Z
institution	BVB
institution_GND	(DE-588)1163815438
isbn	9781786345394
language	English
lccn	018010673
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-030451023
oclc_num	1045420994
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owner	DE-739 DE-521
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physical	182 Seiten Illustrationen, Diagramme
publishDate	2018
publishDateSearch	2018
publishDateSort	2018
publisher	World Scientific
record_format	marc
spelling	Conference "Statistical Data Science" 2017 London Verfasser (DE-588)1163815438 aut Statistical data science edited by Niall Adams (Imperial College London, UK), Ed Cohen (Imperial College London, UK) New Jersey World Scientific 2018 182 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references. - Preface: "This volume is a collection of papers related to the conference "Statistical Data Sciene" held in July 2017 at both Imperial College London and Winton's head office in London" Data mining Mathematical statistics Data Mining (DE-588)4428654-5 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2017 London gnd-content Data Mining (DE-588)4428654-5 s Statistik (DE-588)4056995-0 s DE-604 Adams, Niall M. 1968- (DE-588)1089491379 edt Cohen, Edward (DE-588)116297124X edt Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030451023&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Statistical data science Data mining Mathematical statistics Data Mining (DE-588)4428654-5 gnd Statistik (DE-588)4056995-0 gnd
subject_GND	(DE-588)4428654-5 (DE-588)4056995-0 (DE-588)1071861417
title	Statistical data science
title_auth	Statistical data science
title_exact_search	Statistical data science
title_full	Statistical data science edited by Niall Adams (Imperial College London, UK), Ed Cohen (Imperial College London, UK)
title_fullStr	Statistical data science edited by Niall Adams (Imperial College London, UK), Ed Cohen (Imperial College London, UK)
title_full_unstemmed	Statistical data science edited by Niall Adams (Imperial College London, UK), Ed Cohen (Imperial College London, UK)
title_short	Statistical data science
title_sort	statistical data science
topic	Data mining Mathematical statistics Data Mining (DE-588)4428654-5 gnd Statistik (DE-588)4056995-0 gnd
topic_facet	Data mining Mathematical statistics Data Mining Statistik Konferenzschrift 2017 London
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030451023&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT conferencestatisticaldatasciencelondon statisticaldatascience AT adamsniallm statisticaldatascience AT cohenedward statisticaldatascience

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