Symbolic Statistics with SymPy
Replacing symbols with random variables makes it possible to naturally add statistical operations to complex physical models. Three examples of symbolic statistical modeling are considered here, using new features from the popular SymPy project.
Gespeichert in:
| Veröffentlicht in: | Computing in science & engineering 2012-05, Vol.14 (3), p.88-93 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 93 |
|---|---|
| container_issue | 3 |
| container_start_page | 88 |
| container_title | Computing in science & engineering |
| container_volume | 14 |
| creator | Rocklin, Matthew Terrel, Andy R. |
| description | Replacing symbols with random variables makes it possible to naturally add statistical operations to complex physical models. Three examples of symbolic statistical modeling are considered here, using new features from the popular SymPy project. |
| doi_str_mv | 10.1109/MCSE.2012.56 |
| format | Article |
| fullrecord | <record><control><sourceid>crossref_RIE</sourceid><recordid>TN_cdi_crossref_primary_10_1109_MCSE_2012_56</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6188565</ieee_id><sourcerecordid>10_1109_MCSE_2012_56</sourcerecordid><originalsourceid>FETCH-LOGICAL-c255t-8058b529c7157c2ea53bf39e11dd8c415be10e74fdb2b5b8bdb9b0ec34d92733</originalsourceid><addsrcrecordid>eNo9j01LxDAURYMoOI7u3AnSH2BqXtKXJksp4weMKHQW7kKTvmJkhpEmIP33ThlxdS_cw4XD2DWIEkDY-9emXZVSgCxRn7AFIBqutP44nbsEbjXgObtI6UsIURmLC3bbTju_38ZQtLnLMeUYUvET82dxGN6nS3Y2dNtEV3-5ZJvH1aZ55uu3p5fmYc2DRMzcCDQepQ01YB0kdaj8oCwB9L0JFaAnEFRXQ--lR298760XFFTVW1krtWR3x9sw7lMaaXDfY9x14-RAuFnNzWpuVnOoD_jNEY9E9I9qMAY1ql-wd0lq</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Symbolic Statistics with SymPy</title><source>IEEE Electronic Library (IEL)</source><creator>Rocklin, Matthew ; Terrel, Andy R.</creator><creatorcontrib>Rocklin, Matthew ; Terrel, Andy R.</creatorcontrib><description>Replacing symbols with random variables makes it possible to naturally add statistical operations to complex physical models. Three examples of symbolic statistical modeling are considered here, using new features from the popular SymPy project.</description><identifier>ISSN: 1521-9615</identifier><identifier>EISSN: 1558-366X</identifier><identifier>DOI: 10.1109/MCSE.2012.56</identifier><identifier>CODEN: CSENFA</identifier><language>eng</language><publisher>IEEE</publisher><subject>Computational modeling ; Computational science ; Noise ; Numerical models ; Python ; Random variables ; scientific computing ; symbolic statistical modeling ; SymPy ; Syntactics ; Temperature measurement</subject><ispartof>Computing in science & engineering, 2012-05, Vol.14 (3), p.88-93</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c255t-8058b529c7157c2ea53bf39e11dd8c415be10e74fdb2b5b8bdb9b0ec34d92733</citedby><cites>FETCH-LOGICAL-c255t-8058b529c7157c2ea53bf39e11dd8c415be10e74fdb2b5b8bdb9b0ec34d92733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6188565$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6188565$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Rocklin, Matthew</creatorcontrib><creatorcontrib>Terrel, Andy R.</creatorcontrib><title>Symbolic Statistics with SymPy</title><title>Computing in science & engineering</title><addtitle>CISE-M</addtitle><description>Replacing symbols with random variables makes it possible to naturally add statistical operations to complex physical models. Three examples of symbolic statistical modeling are considered here, using new features from the popular SymPy project.</description><subject>Computational modeling</subject><subject>Computational science</subject><subject>Noise</subject><subject>Numerical models</subject><subject>Python</subject><subject>Random variables</subject><subject>scientific computing</subject><subject>symbolic statistical modeling</subject><subject>SymPy</subject><subject>Syntactics</subject><subject>Temperature measurement</subject><issn>1521-9615</issn><issn>1558-366X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9j01LxDAURYMoOI7u3AnSH2BqXtKXJksp4weMKHQW7kKTvmJkhpEmIP33ThlxdS_cw4XD2DWIEkDY-9emXZVSgCxRn7AFIBqutP44nbsEbjXgObtI6UsIURmLC3bbTju_38ZQtLnLMeUYUvET82dxGN6nS3Y2dNtEV3-5ZJvH1aZ55uu3p5fmYc2DRMzcCDQepQ01YB0kdaj8oCwB9L0JFaAnEFRXQ--lR298760XFFTVW1krtWR3x9sw7lMaaXDfY9x14-RAuFnNzWpuVnOoD_jNEY9E9I9qMAY1ql-wd0lq</recordid><startdate>201205</startdate><enddate>201205</enddate><creator>Rocklin, Matthew</creator><creator>Terrel, Andy R.</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201205</creationdate><title>Symbolic Statistics with SymPy</title><author>Rocklin, Matthew ; Terrel, Andy R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c255t-8058b529c7157c2ea53bf39e11dd8c415be10e74fdb2b5b8bdb9b0ec34d92733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Computational modeling</topic><topic>Computational science</topic><topic>Noise</topic><topic>Numerical models</topic><topic>Python</topic><topic>Random variables</topic><topic>scientific computing</topic><topic>symbolic statistical modeling</topic><topic>SymPy</topic><topic>Syntactics</topic><topic>Temperature measurement</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rocklin, Matthew</creatorcontrib><creatorcontrib>Terrel, Andy R.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><jtitle>Computing in science & engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Rocklin, Matthew</au><au>Terrel, Andy R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Symbolic Statistics with SymPy</atitle><jtitle>Computing in science & engineering</jtitle><stitle>CISE-M</stitle><date>2012-05</date><risdate>2012</risdate><volume>14</volume><issue>3</issue><spage>88</spage><epage>93</epage><pages>88-93</pages><issn>1521-9615</issn><eissn>1558-366X</eissn><coden>CSENFA</coden><abstract>Replacing symbols with random variables makes it possible to naturally add statistical operations to complex physical models. Three examples of symbolic statistical modeling are considered here, using new features from the popular SymPy project.</abstract><pub>IEEE</pub><doi>10.1109/MCSE.2012.56</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1521-9615 |
| ispartof | Computing in science & engineering, 2012-05, Vol.14 (3), p.88-93 |
| issn | 1521-9615 1558-366X |
| language | eng |
| recordid | cdi_crossref_primary_10_1109_MCSE_2012_56 |
| source | IEEE Electronic Library (IEL) |
| subjects | Computational modeling Computational science Noise Numerical models Python Random variables scientific computing symbolic statistical modeling SymPy Syntactics Temperature measurement |
| title | Symbolic Statistics with SymPy |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T17%3A08%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Symbolic%20Statistics%20with%20SymPy&rft.jtitle=Computing%20in%20science%20&%20engineering&rft.au=Rocklin,%20Matthew&rft.date=2012-05&rft.volume=14&rft.issue=3&rft.spage=88&rft.epage=93&rft.pages=88-93&rft.issn=1521-9615&rft.eissn=1558-366X&rft.coden=CSENFA&rft_id=info:doi/10.1109/MCSE.2012.56&rft_dat=%3Ccrossref_RIE%3E10_1109_MCSE_2012_56%3C/crossref_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6188565&rfr_iscdi=true |