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  • Unlike [[Bayesian network]]s, DNs may contain cycles. ...nference, Collaborative Filtering, and Data Visualization |journal=Journal of Machine Learning Research |date=October 2000 |url=http://www.jmlr.org/paper ...
    9 KB (1,455 words) - 14:32, 31 August 2024
  • {{Short description|Type of probability distribution used in statistics}} ...ditor-last=Goel |editor2-first=A. |editor2-last=Zellner |series=Studies in Bayesian Econometrics and Statistics |volume=6 |location=New York |publisher=Elsevie ...
    4 KB (660 words) - 19:48, 26 July 2024
  • {{Short description|Bayesian inference method}} {{Bayesian statistics}} ...
    13 KB (1,835 words) - 16:44, 6 November 2024
  • ...nois Institute of Technology]] {{small|([[Master of Science|MS]], [[Doctor of Philosophy|PhD]])}} ...ory]] in [[artificial intelligence]] and in the development of the field [[Bayesian network]]s.<ref name="dawn3">{{cite journal|last1=Holmes|first1=Dawn|title= ...
    10 KB (1,328 words) - 19:14, 27 February 2025
  • {{Short description|Set of probability measures}} ...abio.cozman/Research/CredalSetsTutorial/Nutshell/index.html Theory of Sets of Probabilities (and related models) in a Nutshell] {{webarchive|url=https:// ...
    4 KB (566 words) - 21:16, 7 November 2024
  • ...Social Networks |doi=10.1007/s13235-010-0004-1 |journal=Dynamic Games and Applications |volume=1 |issue=1 |pages=3–49 |citeseerx=10.1.1.471.6097 }}</ref> ...n, or put differently, whether the consensus belief matches the true state of the world or not; ...
    7 KB (1,021 words) - 17:45, 24 October 2024
  • ...a set of (undirected) [[edge (graph theory)|edges]] {{mvar|E}}, and a set of [[Directed graph|directed]] edges (or arcs) {{mvar|A}}.<ref name="BeckBlado [[File:Mixed Graph Example.jpg|thumbnail|Example of a mixed graph]] ...
    9 KB (1,446 words) - 12:28, 2 November 2024
  • '''Bayesian quadrature'''<ref name="Diaconis1988">{{cite journal | title = Bayesian Numerical Analysis ...
    19 KB (2,640 words) - 05:04, 27 December 2024
  • ...ute [[methylation]] state in a region of interest.<ref>Down, T.A. et al. A Bayesian deconvolution strategy for immunoprecipitation-based DNA methylome analysis .... Analysing the MeDIP signal of the above example would give Batman scores of 0.5 for region ''A'' (i.e. the region is 50% methylated) and 1 for region ' ...
    7 KB (1,120 words) - 02:31, 22 February 2020
  • {{short description|Reciprocal of the statistical variance}} ...>{{cite book |last=Dodge |first=Y. |year=2003 |title=The Oxford Dictionary of Statistical Terms |publisher=Oxford University Press |isbn=0-19-920613-9 |u ...
    7 KB (957 words) - 17:21, 26 April 2024
  • {{Short description|Mathematical method for quicker estimation of probable outcomes}} ...e for large numbers of models very quickly and facilitating the estimation of hierarchical models ([[Empirical Bayes method|Parametric Empirical Bayes]]) ...
    12 KB (1,841 words) - 10:23, 27 December 2024
  • {{Short description|Methods for comparing models in a Bayesian framework}} | title = Bayesian Model Comparison ...
    13 KB (1,846 words) - 16:28, 5 October 2024
  • ...tle=The inverted Dirichlet distribution with applications| journal=Journal of the American Statistical Association| year=1965| volume=60| number=311| pag The distribution has applications in [[statistical regression]] and arises naturally when considering the [[m ...
    5 KB (685 words) - 18:58, 26 January 2024
  • ...the optimization of non-convex objective functions, shown here to be a sum of Gaussians.]] ...available data. First described by Welling and Teh in 2011, the method has applications in many contexts which require optimization, and is most notably applied in ...
    9 KB (1,326 words) - 16:18, 4 October 2024
  • ...pecially when the [[likelihood]] is not from the [[location-scale family]] of distributions such as [[normal distribution]]. ...\boldsymbol{\mu})</math>, the joint [[probability density function]] (pdf) of <math>\boldsymbol{Y}=(Y_{1},\dots,Y_{k})</math> is given as the following: ...
    5 KB (725 words) - 21:02, 9 December 2016
  • ...ining and inference are often computationally infeasible, so [[approximate inference]] and learning methods are used. ==Applications== ...
    6 KB (897 words) - 21:14, 1 February 2025
  • {{Short description|Type of heuristic technique}} [[File:Visualization of Thompson sampling.gif|thumb|350px|Concrete example of Thompson sampling applied to simulate treatment efficacy evaluation]] ...
    11 KB (1,667 words) - 13:09, 10 February 2025
  • {{Short description|Process of choosing the actual true value for a data item}} '''Truth discovery''' (also known as '''truth finding''') is the process of choosing the actual ''true value'' for a [[data item]] when different [[Dat ...
    15 KB (2,171 words) - 07:15, 27 May 2024
  • {{Bayesian statistics}} ...of this integration is it allows calculation of the posterior distribution of the [[prior distribution|prior]], providing an updated probability estimate ...
    21 KB (3,261 words) - 23:12, 7 February 2025
  • ...Mathematics and philosophy | year=2008 | publisher=Mathematics Association of America Inc. | isbn=978-0-88385-567-6 | url=https://books.google.com/books? ...books?id=HDOuKjMc0AEC&q=Thomas+Kuhn's+%22linguistic+turn%22+and+the+legacy+of+logical+empiricism}}</ref> ...
    18 KB (2,554 words) - 07:29, 19 October 2024
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