Conjugate prior

Results: 254



#Item
1The Math Behind TrueSkill Abstract This paper accompanies my “Computing Your Skill” blog post at moserware.com. It contains selected portions from my paper notebook that I kept on my several-month journey to understa

The Math Behind TrueSkill Abstract This paper accompanies my “Computing Your Skill” blog post at moserware.com. It contains selected portions from my paper notebook that I kept on my several-month journey to understa

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Source URL: www.moserware.com

Language: English - Date: 2015-10-21 09:35:20
2Competing with Humans at Fantasy Football: Team Formation in Large Partially-Observable Domains

Competing with Humans at Fantasy Football: Team Formation in Large Partially-Observable Domains

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Source URL: www.intelligence.tuc.gr

Language: English - Date: 2012-04-19 16:26:14
3JMLR: Workshop and Conference Proceedings vol 40:1–38, 2015  Thompson Sampling for Learning Parameterized Markov Decision Processes Aditya Gopalan

JMLR: Workshop and Conference Proceedings vol 40:1–38, 2015 Thompson Sampling for Learning Parameterized Markov Decision Processes Aditya Gopalan

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Source URL: jmlr.org

Language: English - Date: 2015-07-20 20:08:36
4Journal of Quantitative Analysis in Sports Volume 7, Issue

Journal of Quantitative Analysis in Sports Volume 7, Issue

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Source URL: www-stat.wharton.upenn.edu

Language: English - Date: 2016-07-26 14:51:16
51  Tractable Fully Bayesian Inference via Convex Optimization and Optimal Transport Theory Sanggyun Kim, Diego Mesa, Rui Ma, and Todd P. Coleman

1 Tractable Fully Bayesian Inference via Convex Optimization and Optimal Transport Theory Sanggyun Kim, Diego Mesa, Rui Ma, and Todd P. Coleman

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Source URL: arxiv.org

Language: English - Date: 2015-09-29 20:20:39
616 Basic Bayesian Methods Mark E. Glickman and David A. van Dyk Summary In this chapter, we introduce the basics of Bayesian data analysis. The key ingredients to a

16 Basic Bayesian Methods Mark E. Glickman and David A. van Dyk Summary In this chapter, we introduce the basics of Bayesian data analysis. The key ingredients to a

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Source URL: www.glicko.net

Language: English - Date: 2009-12-24 15:06:45
7326  IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 17, NO. 3, MARCH 2008 Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation

326 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 17, NO. 3, MARCH 2008 Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation

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Source URL: decsai.ugr.es

Language: English - Date: 2008-02-28 03:58:00
8Local Bayesian Image Restoration Using Variational Methods and Gamma-Normal Distributions

Local Bayesian Image Restoration Using Variational Methods and Gamma-Normal Distributions

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Source URL: decsai.ugr.es

Language: English - Date: 2009-11-13 06:22:00
917th European Signal Processing Conference (EUSIPCOGlasgow, Scotland, August 24-28, 2009 NON-CONVEX PRIORS IN BAYESIAN COMPRESSED SENSING S. Derin Babacan1 ,

17th European Signal Processing Conference (EUSIPCOGlasgow, Scotland, August 24-28, 2009 NON-CONVEX PRIORS IN BAYESIAN COMPRESSED SENSING S. Derin Babacan1 ,

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Source URL: decsai.ugr.es

Language: English - Date: 2009-09-21 12:26:53
10Competing process hazard function models for player ratings in ice hockey

Competing process hazard function models for player ratings in ice hockey

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Source URL: www-stat.wharton.upenn.edu

Language: English - Date: 2013-10-03 09:38:03