Generalized normal distribution

Results: 247



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1Ecology, 86(5), 2005, pp. 1124–1134 q 2005 by the Ecological Society of America STATISTICS OF EXTREMES: MODELING ECOLOGICAL DISTURBANCES RICHARD W. KATZ,1,3 GRACE S. BRUSH,2

Ecology, 86(5), 2005, pp. 1124–1134 q 2005 by the Ecological Society of America STATISTICS OF EXTREMES: MODELING ECOLOGICAL DISTURBANCES RICHARD W. KATZ,1,3 GRACE S. BRUSH,2

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Source URL: www.isse.ucar.edu

Language: English - Date: 2013-06-24 15:39:57
2Policy Evaluation Using the Ω-Return  Scott Niekum University of Texas at Austin  Philip S. Thomas

Policy Evaluation Using the Ω-Return Scott Niekum University of Texas at Austin Philip S. Thomas

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Source URL: psthomas.com

Language: English - Date: 2015-10-30 09:54:06
3A GENERALIZED BAYESIAN MODEL FOR TRACKING LONG METRICAL CYCLES IN ACOUSTIC MUSIC SIGNALS Ajay Srinivasamurthy ⋆ , Andre Holzapfel † , Ali Taylan Cemgil ‡ , Xavier Serra ⋆ ⋆  Music Technology Group, Universitat

A GENERALIZED BAYESIAN MODEL FOR TRACKING LONG METRICAL CYCLES IN ACOUSTIC MUSIC SIGNALS Ajay Srinivasamurthy ⋆ , Andre Holzapfel † , Ali Taylan Cemgil ‡ , Xavier Serra ⋆ ⋆ Music Technology Group, Universitat

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Source URL: www.rhythmos.org

Language: English - Date: 2016-02-09 05:50:48
4DEPARTMENT OF MATHEMATICS TECHNICAL REPORT Generalized Correlated Cross-Validation (GCCV) Patrick S. Carmack November 2011

DEPARTMENT OF MATHEMATICS TECHNICAL REPORT Generalized Correlated Cross-Validation (GCCV) Patrick S. Carmack November 2011

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Source URL: uca.edu

Language: English - Date: 2011-11-16 11:21:11
5Optimal Kernels for Unsupervised Learning Sepp Hochreiter and Klaus Obermayer Bernstein Center for Computational Neuroscience and Technische Universit¨at BerlinBerlin, Germany

Optimal Kernels for Unsupervised Learning Sepp Hochreiter and Klaus Obermayer Bernstein Center for Computational Neuroscience and Technische Universit¨at BerlinBerlin, Germany

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Source URL: www.bioinf.jku.at

Language: English - Date: 2013-09-23 08:37:52
6FLUCTUATION ANALYSIS FOR THE LOSS FROM DEFAULT  arXiv:1304.1420v2 [math.PR] 29 May 2013 KONSTANTINOS SPILIOPOULOS, JUSTIN A. SIRIGNANO, AND KAY GIESECKE Abstract. We analyze the fluctuation of the loss from default aroun

FLUCTUATION ANALYSIS FOR THE LOSS FROM DEFAULT arXiv:1304.1420v2 [math.PR] 29 May 2013 KONSTANTINOS SPILIOPOULOS, JUSTIN A. SIRIGNANO, AND KAY GIESECKE Abstract. We analyze the fluctuation of the loss from default aroun

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Source URL: arxiv.org

Language: English - Date: 2013-05-29 20:13:43
7Journal of Machine Learning Research  Submitted 5/06; Revised 10/06; Published 3/07 Consistent Feature Selection for Pattern Recognition in Polynomial Time

Journal of Machine Learning Research Submitted 5/06; Revised 10/06; Published 3/07 Consistent Feature Selection for Pattern Recognition in Polynomial Time

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Source URL: www.jmlr.org

Language: English - Date: 2007-03-15 15:29:20
8Variogram estimation in the presence of trend

Variogram estimation in the presence of trend

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Source URL: www.pstat.ucsb.edu

Language: English - Date: 2012-09-18 20:28:37
9Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach John C. Duchi1 Peter W. Glynn2

Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach John C. Duchi1 Peter W. Glynn2

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Source URL: stanford.edu

Language: English - Date: 2016-07-20 19:02:49
10Chapter 6  Infinite State Space In this chapter we begin working with stochastic systems on infinite state space. While a completely rigorous treatment of this area requires measure theory (chapter 7 and onward), we can

Chapter 6 Infinite State Space In this chapter we begin working with stochastic systems on infinite state space. While a completely rigorous treatment of this area requires measure theory (chapter 7 and onward), we can

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Source URL: johnstachurski.net

Language: English - Date: 2016-06-19 06:01:54