Bayes

Results: 1668



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11

Vol. 7/2, Octoberdisk using the option ei.MD.bayes(..., ret.beta = "s"), or discard the unit-level draws entirely using ei.MD.bayes(..., ret.beta = "d"). To reconstruct the chains, users can select the row margina

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Source URL: pbil.univ-lyon1.fr

Language: English - Date: 2013-01-11 07:27:24
    12

    Bayesianism and Austrian Apriorism Frank van Dun A Bayesian midde ground? In the last published round of his debate with Walter Block on economic methodology,1 Bryan Caplan introduces Bayes’ Rule as ‘a cure for metho

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    Source URL: users.ugent.be

    Language: English - Date: 2008-03-27 04:27:03
      13

      Bayes’ Theorem for Gaussians Chris Bracegirdle∗ September 2010 The family of Gaussian-distributed variables is, generally speaking, well-behaved under Bayesian manipulation of linear combinations. This document sets

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      Source URL: web4.cs.ucl.ac.uk

      Language: English - Date: 2011-01-15 06:45:02
        14

        Learning with Dependencies between Several Response Variables: From Hierarchical Bayes and Multitask Learning to Structured Output Prediction and Relational Learning Version 1.2

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        Source URL: www.dbs.ifi.lmu.de

        Language: English - Date: 2010-10-25 02:13:43
          15

          Borrowing strength in hierarchical Bayes: convergence of the Dirichlet base measure Long Nguyen Department of Statistics University of Michigan

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          Source URL: dept.stat.lsa.umich.edu

          Language: English - Date: 2017-06-09 10:16:19
            16

            Social deliberation: Nash, Bayes and the partial vindication of Gabriele Tarde∗ J. McKenzie Alexander Department of Philosophy, Logic and Scientific Method London School of Economics and Political Science

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            Source URL: jmckalex.org

            Language: English - Date: 2016-05-18 05:44:23
              17

              Mach Learn DOIs10994Stochastic feature mapping for PAC-Bayes classification Xiong Li1,2,3 · Bin Wang4 · Yuncai Liu1 · Tai Sing Lee3

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              Source URL: www.cnbc.cmu.edu

              - Date: 2016-04-14 09:57:47
                18

                Microsoft Word - chi2016-bayes-12-mjskay.docx

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                Source URL: www.mjskay.com

                - Date: 2016-07-11 22:21:19
                  19

                  X Bayes-Nash Approximation This text primarily focuses on the design of incentive compatible mechanisms, i.e., ones where truth telling is an equilibrium. This focus is justified in theory by the revelation principle (Se

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                  Source URL: jasonhartline.com

                  - Date: 2017-07-28 06:04:18
                    20

                    There’s Something About Bayes Effective Probabilistic Programming for the Rest of Us James Bornholt Todd Mytkowicz Kathryn S. McKinley

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                    Source URL: homes.cs.washington.edu

                    - Date: 2016-11-23 00:38:15
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