Probabilistic programming: Difference between revisions

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==Notes==
{{Reflist|30em|refs=
<ref name="nova">{{cite web|url=https://dl.acm.org/citation.cfm?id=2627375|title=NOVA: A Functional Language for Data Parallelism|work=acm.org}}</ref>
<ref name="CuPPL">{{cite web|url=https://popl19.sigplan.org/event/lafi-2019-probabilistic-programming-with-cuppl|title=Probabilistic Programming with CuPPL|work=popl19.sigplan.org}}</ref>
<ref name="BAYESDB">{{cite web|url=https://github.com/probcomp/bayeslite|title=BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself|work=GitHub}}</ref>
<ref name="bayesloop">{{cite web|url=http://bayesloop.com/|title=bayesloop: Probabilistic programming framework that facilitates objective model selection for time-varying parameter models}}</ref>
<ref name="bayesloop2">{{cite web|url=https://github.com/christophmark/bayesloop|title=GitHub -- bayesloop}}</ref>
<ref name="Analytica">{{cite web|url=http://www.analytica.com|title=Analytica-- A Probabilistic Modeling Language|work=lumina.com}}</ref>
<ref name="Venture">{{cite web|url=http://probcomp.csail.mit.edu/venture/|title=Venture -- a general-purpose probabilistic programming platform|work=mit.edu}}</ref>
<ref name="Anglican">{{cite web|url=https://github.com/probprog/anglican-infcomp|title=The Anglican Probabilistic Programming System|work=ox.ac.uk}}</ref>
<ref name="Probabilistic-C">{{cite web|url=http://www.robots.ox.ac.uk/~brooks/probabilistic-c/|title=Probabilistic C|work=ox.ac.uk}}</ref>
<ref name="IBAL">{{cite web|url=http://www.eecs.harvard.edu/~avi/IBAL/|title=IBAL Home Page|url-status=dead|archiveurl=https://web.archive.org/web/20101226131239/http://www.eecs.harvard.edu/~avi/IBAL/|archivedate=December 26, 2010|df=mdy-all}}</ref>
<ref name="PRISM">{{cite web|url=http://rjida.meijo-u.ac.jp/prism/|title=PRISM: PRogramming In Statistical Modeling|website=rjida.meijo-u.ac.jp}}</ref>
<ref name="INFET">{{cite web|url=http://research.microsoft.com/en-us/um/cambridge/projects/infernet/|title=Infer.NET|publisher=Microsoft|work=microsoft.com}}</ref>
<ref name="DMPL">{{cite web|url=https://github.com/analog-garage/dimple|title=Dimple Home Page|work=analog.com}}</ref>
<ref name="CHMPL">{{cite web|url=https://github.com/analog-garage/chimple|title=Chimple Home Page|work=analog.com}}</ref>
<ref name="BLOG">{{cite web|url=http://people.csail.mit.edu/milch/blog/|title=Bayesian Logic (BLOG)|work=mit.edu|url-status=dead|archiveurl=https://web.archive.org/web/20110616214423/http://people.csail.mit.edu/milch/blog/|archivedate=June 16, 2011|df=mdy-all}}</ref>
<ref name="delSAT">{{cite web|url=https://github.com/MatthiasNickles/delSAT/|title=delSAT (probabilistic SAT/ASP)}}</ref>
<ref name="PSQL">{{cite journal|title=PSQL: A query language for probabilistic relational data|doi=10.1016/S0169-023X(98)00015-9 | volume=28|journal=Data & Knowledge Engineering|pages=107–120|year = 1998|last1 = Dey|first1 = Debabrata|last2=Sarkar |first2=Sumit }}</ref>
<ref name="BUGS">{{cite web|url=http://www.mrc-bsu.cam.ac.uk/bugs/|title=The BUGS Project - MRC Biostatistics Unit|work=cam.ac.uk}}</ref>
<ref name="FACTORIE">{{cite web|url=http://code.google.com/p/factorie/|title=Factorie - Probabilistic programming with imperatively-defined factor graphs - Google Project Hosting|work=google.com}}</ref>
<ref name="PMTK">{{cite web|url=http://code.google.com/p/pmtk3/|title=PMTK3 - probabilistic modeling toolkit for Matlab/Octave, version 3 - Google Project Hosting|work=google.com}}</ref>
<ref name="Gamble">{{cite web|url=https://github.com/rmculpepper/gamble|title=gamble: Probabilistic Programming|first=Ryan|last=Culpepper|date=January 17, 2017|publisher=|via=GitHub}}</ref>
<ref name="Alchemy">{{cite web|url=http://alchemy.cs.washington.edu/|title=Alchemy - Open Source AI|work=washington.edu}}</ref>
<ref name="Dyna">{{cite web|url=http://www.dyna.org/|title=Dyna|website=www.dyna.org}}</ref>
<ref name="Figaro">{{cite web|url=http://www.cra.com/figaro|title=Charles River Analytics - Probabilistic Modeling Services|work=cra.com}}</ref>
<ref name="Church">{{cite web|url=http://projects.csail.mit.edu/church/wiki/Church|title=Church|work=mit.edu}}</ref>
<ref name="ProbLog">{{cite web|url=http://dtai.cs.kuleuven.be/problog|title=ProbLog: Probabilistic Programming|website=dtai.cs.kuleuven.be}}</ref>
<ref name="ProBT">{{cite web|url=http://www.probayes.com/fr/Bayesian-Programming-Book/downloads/|title=ProbaYes - Ensemble, nous valorisations vos données|author=ProbaYes|work=probayes.com}}</ref>
<ref name="Stan">{{cite web|url=http://mc-stan.org/|title=Stan|work=mc-stan.org}}</ref>
<ref name="Hakaru">{{cite web|url=https://hakaru-dev.github.io/|title=Hakaru Home Page|work=hakaru-dev.github.io/}}</ref>
<ref name="BAli-Phy">{{cite web|url=http://www.bali-phy.org/|title=BAli-Phy Home Page|work=bali-phy.org}}</ref>
<ref name="ProbCog">{{cite web|url=https://github.com/opcode81/ProbCog/wiki/Features|title=ProbCog|work=GitHub}}</ref>
<ref name="Tuffy">{{cite web|url=http://i.stanford.edu/hazy/tuffy/home|title=Tuffy: A Scalable Markov Logic Inference Engine|work=stanford.edu}}</ref>
<ref name="PyMC3">{{cite web|url=https://pymc-devs.github.io/pymc3/|title=PyMC3|author=PyMC devs|work=pymc-devs.github.io}}</ref>
<ref name="Lea">{{cite web|url=https://bitbucket.org/piedenis/lea|title=Lea Home Page|work=bitbucket.org}}</ref>
<ref name="WebPPL">{{cite web|url=http://dippl.org/|title=WebPPL Home Page|work=github.com/probmods/webppl}}</ref>
<ref name="Turingjl">{{cite web|url=https://github.com/yebai/Turing.jl|title=The Turing language for probabilistic programming}}</ref>
<ref name="Troll">{{cite web|url=http://topps.diku.dk/torbenm/troll.msp|title=Troll dice roller and probability calculator}}</ref>
<ref name="PWhile">{{cite web|url=https://github.com/zz5013/pwCompiler|title=PWhile Compiler|work=GitHub}}</ref>
<ref name="LFPPL">{{cite web|url=https://github.com/bradleygramhansen/PyLFPPL|title=LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models|work=ox.ac.uk}}</ref>
}}