'Bayes factors' diaporamas de présentation

PHYSTAT 2011 Workshop Summary

PHYSTAT 2011 Workshop Summary. CERN, 17-19 January, 2011. Glen Cowan Physics Department Royal Holloway, University of London. Outline. Frequentist methods Bayesian methods In practice: Tevatron, CMS, ATLAS, LHCb Combining results Look-elsewhere effect Software tools

505 views • 50 slides

A New Approach to Utterance Verification Based on Neighborhood Information in Model Space

A New Approach to Utterance Verification Based on Neighborhood Information in Model Space. Author :Hui Jiang , Chin-Hui Lee. Reporter : ???. Reference.

526 views • 36 slides

Bayesian Higgs combination based on event counts (follow-up from 11 May 07)

Bayesian Higgs combination based on event counts (follow-up from 11 May 07). ATLAS Statistics Forum CERN, 3 September, 2007. Glen Cowan Physics Department Royal Holloway, University of London g.cowan@rhul.ac.uk www.pp.rhul.ac.uk/~cowan. Outline.

328 views • 26 slides

Current Challenges in Bayesian Model Choice: Comments

Current Challenges in Bayesian Model Choice: Comments. William H. Jefferys Department of Astronomy University of Texas at Austin and Department of Statistics University of Vermont. The Problem. This paper thoroughly discusses modern Bayesian model choice, both theory and experience

332 views • 23 slides

Current Challenges in Bayesian Model Choice: Comments

Current Challenges in Bayesian Model Choice: Comments. William H. Jefferys Department of Astronomy University of Texas at Austin and Department of Statistics University of Vermont. The Problem. This paper thoroughly discusses modern Bayesian model choice, both theory and experience

236 views • 23 slides

Bayesian Hypothesis Testing and Bayes Factors

Bayesian Hypothesis Testing and Bayes Factors. Bayesian p-values Bayes Factors for model comparison Easy to implement alternatives for model comparison. Bayesian Hypothesis Testing. Bayesian hypothesis testing is less formal than non-Bayesian varieties.

457 views • 18 slides

Bayesian Inference

Bayesian Inference. Will Penny. Wellcome Department of Imaging Neuroscience, University College London, UK. SPM Course, London, May 2004. Bayesian Inference. Gaussians Posterior Probability Maps (PPMs) Hemodynamic Models (HDMs) Comparing models (DCMs). One parameter.

300 views • 16 slides

Using the Bayesian Information Criterion to Judge Models and Statistical Significance

567 views • 15 slides