From Statistical Physics to Data-Driven Modelling: with Applications to Quantitative Biology

Aimed at graduate students, this textbook examines the importance of data analysis to understanding biological, physical, and chemical systems, and outlines its practical applications at the intersection of probability theory, statistics, optimisation, statistical physics, inference, and machine lea...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Cocco, Simona
Format: Buch
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Cocco, Simona
description Aimed at graduate students, this textbook examines the importance of data analysis to understanding biological, physical, and chemical systems, and outlines its practical applications at the intersection of probability theory, statistics, optimisation, statistical physics, inference, and machine learning.
doi_str_mv 10.1093/oso/9780198864745.001.0001
format Book
fullrecord <record><control><sourceid>proquest_askew</sourceid><recordid>TN_cdi_askewsholts_vlebooks_9780192633729</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC7099223</sourcerecordid><originalsourceid>FETCH-LOGICAL-a12093-d109fec9b7507d91f857150d25dbe6f4aaeb58808f619728e2bba4789d4334953</originalsourceid><addsrcrecordid>eNpNkMtOwzAQRY0QCFr6D1E3iEVaP2N7CX0AUhFIILbRJHHaUDcusVvE32MRFixGo7k6M7p3EBoTPCFYs6nzbqqlwkQrlXHJxQRjEguTEzSIKs0Yk5Sf_h_O0YAwnrFMMkIu0Mj7j7hAtcZKiUtElp3bJa8BQuNDU4JNXjbfvil9ElwyhwDpvGuOpk2eXGWsbdr1FTqrwXoz-utD9L5cvM0e0tXz_ePsdpUCodFsWkXLtSl1IQWWlSa1EpIIXFFRFSarOYAphFJY1RnRkipDiwK4VLrijHEt2BDd9IfBb82X3zgbfH60pnBu6_P-D31IHdnrnt137vNgfMh_sdK0oQObL-5mEmtNKYvkuCdL8BDzNPnOtW7dwX7jc8G4koyyH0QHZZw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>book</recordtype><pqid>EBC7099223</pqid></control><display><type>book</type><title>From Statistical Physics to Data-Driven Modelling: with Applications to Quantitative Biology</title><source>Ebook Central Perpetual and DDA</source><creator>Cocco, Simona</creator><contributor>Monasson, Rémi ; Zamponi, Francesco</contributor><creatorcontrib>Cocco, Simona ; Monasson, Rémi ; Zamponi, Francesco</creatorcontrib><description>Aimed at graduate students, this textbook examines the importance of data analysis to understanding biological, physical, and chemical systems, and outlines its practical applications at the intersection of probability theory, statistics, optimisation, statistical physics, inference, and machine learning.</description><edition>1</edition><identifier>ISBN: 0192633724</identifier><identifier>ISBN: 9780192633729</identifier><identifier>ISBN: 9780198864745</identifier><identifier>ISBN: 0198864744</identifier><identifier>EISBN: 0192633724</identifier><identifier>EISBN: 9780192633729</identifier><identifier>DOI: 10.1093/oso/9780198864745.001.0001</identifier><identifier>OCLC: 1346367311</identifier><language>eng</language><publisher>United Kingdom: Oxford University Press</publisher><subject>Biology ; Biology-Data processing ; Physics ; Quantitative research ; Statistical physics</subject><creationdate>2022</creationdate><tpages>193</tpages><format>193</format><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>306,776,780,782,27904</link.rule.ids></links><search><contributor>Monasson, Rémi</contributor><contributor>Zamponi, Francesco</contributor><creatorcontrib>Cocco, Simona</creatorcontrib><title>From Statistical Physics to Data-Driven Modelling: with Applications to Quantitative Biology</title><description>Aimed at graduate students, this textbook examines the importance of data analysis to understanding biological, physical, and chemical systems, and outlines its practical applications at the intersection of probability theory, statistics, optimisation, statistical physics, inference, and machine learning.</description><subject>Biology</subject><subject>Biology-Data processing</subject><subject>Physics</subject><subject>Quantitative research</subject><subject>Statistical physics</subject><isbn>0192633724</isbn><isbn>9780192633729</isbn><isbn>9780198864745</isbn><isbn>0198864744</isbn><isbn>0192633724</isbn><isbn>9780192633729</isbn><fulltext>true</fulltext><rsrctype>book</rsrctype><creationdate>2022</creationdate><recordtype>book</recordtype><sourceid>I4C</sourceid><recordid>eNpNkMtOwzAQRY0QCFr6D1E3iEVaP2N7CX0AUhFIILbRJHHaUDcusVvE32MRFixGo7k6M7p3EBoTPCFYs6nzbqqlwkQrlXHJxQRjEguTEzSIKs0Yk5Sf_h_O0YAwnrFMMkIu0Mj7j7hAtcZKiUtElp3bJa8BQuNDU4JNXjbfvil9ElwyhwDpvGuOpk2eXGWsbdr1FTqrwXoz-utD9L5cvM0e0tXz_ePsdpUCodFsWkXLtSl1IQWWlSa1EpIIXFFRFSarOYAphFJY1RnRkipDiwK4VLrijHEt2BDd9IfBb82X3zgbfH60pnBu6_P-D31IHdnrnt137vNgfMh_sdK0oQObL-5mEmtNKYvkuCdL8BDzNPnOtW7dwX7jc8G4koyyH0QHZZw</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Cocco, Simona</creator><general>Oxford University Press</general><general>Oxford University Press, Incorporated</general><scope>I4C</scope></search><sort><creationdate>2022</creationdate><title>From Statistical Physics to Data-Driven Modelling</title><author>Cocco, Simona</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a12093-d109fec9b7507d91f857150d25dbe6f4aaeb58808f619728e2bba4789d4334953</frbrgroupid><rsrctype>books</rsrctype><prefilter>books</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biology</topic><topic>Biology-Data processing</topic><topic>Physics</topic><topic>Quantitative research</topic><topic>Statistical physics</topic><toplevel>online_resources</toplevel><creatorcontrib>Cocco, Simona</creatorcontrib><collection>Casalini Torrossa eBook Single Purchase</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cocco, Simona</au><au>Monasson, Rémi</au><au>Zamponi, Francesco</au><format>book</format><genre>book</genre><ristype>BOOK</ristype><btitle>From Statistical Physics to Data-Driven Modelling: with Applications to Quantitative Biology</btitle><date>2022</date><risdate>2022</risdate><isbn>0192633724</isbn><isbn>9780192633729</isbn><isbn>9780198864745</isbn><isbn>0198864744</isbn><eisbn>0192633724</eisbn><eisbn>9780192633729</eisbn><abstract>Aimed at graduate students, this textbook examines the importance of data analysis to understanding biological, physical, and chemical systems, and outlines its practical applications at the intersection of probability theory, statistics, optimisation, statistical physics, inference, and machine learning.</abstract><cop>United Kingdom</cop><pub>Oxford University Press</pub><doi>10.1093/oso/9780198864745.001.0001</doi><oclcid>1346367311</oclcid><tpages>193</tpages><edition>1</edition></addata></record>
fulltext fulltext
identifier ISBN: 0192633724
ispartof
issn
language eng
recordid cdi_askewsholts_vlebooks_9780192633729
source Ebook Central Perpetual and DDA
subjects Biology
Biology-Data processing
Physics
Quantitative research
Statistical physics
title From Statistical Physics to Data-Driven Modelling: with Applications to Quantitative Biology
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T23%3A28%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_askew&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=book&rft.btitle=From%20Statistical%20Physics%20to%20Data-Driven%20Modelling:%20with%20Applications%20to%20Quantitative%20Biology&rft.au=Cocco,%20Simona&rft.date=2022&rft.isbn=0192633724&rft.isbn_list=9780192633729&rft.isbn_list=9780198864745&rft.isbn_list=0198864744&rft_id=info:doi/10.1093/oso/9780198864745.001.0001&rft_dat=%3Cproquest_askew%3EEBC7099223%3C/proquest_askew%3E%3Curl%3E%3C/url%3E&rft.eisbn=0192633724&rft.eisbn_list=9780192633729&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC7099223&rft_id=info:pmid/&rfr_iscdi=true