Revision as of 20:38, 7 October 2024 edit 46.36.172.86 (talk) Added Anglican Clojure library Tag: Visual edit ← Previous edit		Revision as of 00:25, 23 October 2024 edit undo Boris.the.boris007 (talk \| contribs) 2 edits m →Difficulty: Added a description about the difficulty of finding informed priors in PPL Tag: Visual edit Next edit →
Line 161: == Difficulty == * Reasoning about variables as probability distributions causes difficulties for novice programmers, but these difficulties can be addressed through use of Bayesian network ~~visualisations~~visualizations and graphs of variable distributions embedded within the source code editor.<ref>{{Cite book\|last1=Gorinova\|first1=Maria I.\|last2=Sarkar\|first2=Advait\|last3=Blackwell\|first3=Alan F.\|last4=Syme\|first4=Don\|title=Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems \|chapter=A Live, Multiple-Representation Probabilistic Programming Environment for Novices \|date=2016-01-01\|series=CHI '16\|___location=New York, NY, USA\|publisher=ACM\|pages=2533–2537\|doi=10.1145/2858036.2858221\|isbn=9781450333627\|s2cid=3201542}}</ref> * As many PPLs rely on the specification of priors on the variables of interest, specifying informed priors is often difficult for novices. In some cases, libraries such as PyMC provide automated methods to find the parameterization of informed priors<ref>{{Cite web \|title=pymc.find_constrained_prior — PyMC dev documentation \|url=https://www.pymc.io/projects/docs/en/latest/api/generated/pymc.find_constrained_prior.html \|access-date=2024-10-23 \|website=www.pymc.io}}</ref>. ==See also==

Probabilistic programming: Difference between revisions