Joint probability distribution

Results: 118



#Item
1Risk Measure Preserving Approximation of Univariate Monte Carlo Simulation Results with Insurance Applications Philipp Arbenz, PhD, Actuary SAA  Joint work with William Guevara-Alarcón

Risk Measure Preserving Approximation of Univariate Monte Carlo Simulation Results with Insurance Applications Philipp Arbenz, PhD, Actuary SAA Joint work with William Guevara-Alarcón

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Source URL: www.ccfz.ch

Language: English - Date: 2015-09-13 15:03:56
2A study of multiscale seismic data joint inversion method

A study of multiscale seismic data joint inversion method

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Source URL: www.rpl.uh.edu

Language: English - Date: 2013-10-02 10:44:52
3Multidimensional covariate effects in spatial and joint extremes P. Jonathan, K. Ewans and D. Randell Shell Projects & Technology Corresponding author:   13th International Workshop on Wave Hindc

Multidimensional covariate effects in spatial and joint extremes P. Jonathan, K. Ewans and D. Randell Shell Projects & Technology Corresponding author: 13th International Workshop on Wave Hindc

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Source URL: www.waveworkshop.org

Language: English - Date: 2013-10-09 09:32:00
4Multi-label Classification Jesse Read Department of Signal Theory and Communications Madrid, Spain  II MLKDD

Multi-label Classification Jesse Read Department of Signal Theory and Communications Madrid, Spain II MLKDD

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Source URL: users.ics.aalto.fi

Language: English - Date: 2013-07-16 10:59:38
5Probabilistic ML algorithm Naïve Bayes and Maximum Likelyhood 1

Probabilistic ML algorithm Naïve Bayes and Maximum Likelyhood 1

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Source URL: twiki.di.uniroma1.it

Language: English - Date: 2016-05-09 09:04:44
6CELEBRATING 30 YEARS doimksc © 2011 INFORMS Vol. 30, No. 1, January–February 2011, pp. 22–24 issn ! eissn 1526-548X ! 11 ! 3001 ! 0022

CELEBRATING 30 YEARS doimksc © 2011 INFORMS Vol. 30, No. 1, January–February 2011, pp. 22–24 issn ! eissn 1526-548X ! 11 ! 3001 ! 0022

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

Language: English - Date: 2016-07-26 14:30:17
7Calibrated Structured Prediction Percy Liang Department of Computer Science Stanford University Stanford, CA 94305

Calibrated Structured Prediction Percy Liang Department of Computer Science Stanford University Stanford, CA 94305

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Source URL: cs.stanford.edu

Language: English - Date: 2015-10-31 00:27:55
8Analysis	
  of	
  Massive	
  Data	
  Streams	
   using	
  R	
  and	
  AMIDST	
   Page 9 of 73 FP7-ICTAMIDST

Analysis  of  Massive  Data  Streams   using  R  and  AMIDST   Page 9 of 73 FP7-ICTAMIDST

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Source URL: static.amidst.eu

Language: English - Date: 2015-07-05 06:50:14
9Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems Anupam Datta  Shayak Sen

Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems Anupam Datta Shayak Sen

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Source URL: www.andrew.cmu.edu

Language: English - Date: 2016-06-11 14:42:51
10Current Open Questions in Complete Mixability Ruodu Wang∗ July 24, 2015 Abstract Complete and joint mixability has raised considerable interest in recent few years, in

Current Open Questions in Complete Mixability Ruodu Wang∗ July 24, 2015 Abstract Complete and joint mixability has raised considerable interest in recent few years, in

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Source URL: sas.uwaterloo.ca

Language: English - Date: 2015-07-24 16:14:44