Revision as of 14:25, 11 September 2021 edit Adamopoulos (talk \| contribs) 327 edits →Bayes' theorem: Added resources for finding normalizing coefficient Tag: Visual edit ← Previous edit		Revision as of 14:42, 11 September 2021 edit undo Lotje (talk \| contribs) Extended confirmed users, File movers, Pending changes reviewers, Rollbackers 142,838 edits m -Category:CS1 errors: invisible characters Next edit →
Line 61: is the ''normalizing constant''.<ref>Feller, 1968, p. 124.</ref> It can be extended from countably many hypotheses to uncountably many by replacing the sum by an integral. For concreteness, there are many methods of estimating the normalizing constant for practical purposes. Methods include the bridge sampling technique, the naive Monte Carlo estimator, the generalized harmonic mean estimator, and importance sampling.<ref>{{Cite web\|last=Gronau\|first=Quentin\|date=2020\|title=bridgesampling: An R Package for Estimating Normalizing Constants\|url=https://cran.r-project.org/web/packages/bridgesampling/vignettes/bridgesampling_paper.pdf\|url-status=live\|access-date=September 11, 2021\|website=The Comprehensive R Archive Network}}</ref> ~~Normalizing Constants\|url=https://cran.r-project.org/web/packages/bridgesampling/vignettes/bridgesampling_paper.pdf\|url-status=live\|access-date=2021\|website=The Comprehensive R Archive Network}}</ref>~~ ==Non-probabilistic uses==

Normalizing constant: Difference between revisions