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  • Search: subject:"pseudo-random sequences"
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Year of publication
Subject
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Halton sequences 4 maximum simulated likelihood 4 multivariate normal 4 multivariate probit 4 pseudo-random sequences 4 GHK simulator 3 Simulation estimation 2 simulation estimation 2 Differential evolution 1 Dynamical system 1 Low-discrepancy sequences 1 Markov map 1 Particle swarm optimization 1 Population-based optimization algorithms 1 Pseudo random sequences 1 Pseudo-random sequences 1 Quasi-random sequences 1 Zeta function 1
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Online availability
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Free 3 Undetermined 2
Type of publication
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Book / Working Paper 4 Article 2
Type of publication (narrower categories)
All
Working Paper 2
Language
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English 3 Undetermined 3
Author
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Cappellari, Lorenzo 4 Jenkins, Stephen P. 4 Clerc, Maurice 1 Mori, Makoto 1 Omran, Mahamed 1 Salman, Ayed 1 al-Sharhan, Salah 1
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Institution
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DIW Berlin (Deutsches Institut für Wirtschaftsforschung) 1 Institute for the Study of Labor (IZA) 1
Published in...
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IZA Discussion Papers 2 Computational Optimization and Applications 1 DIW Discussion Papers 1 Discussion Papers of DIW Berlin 1 Mathematics and Computers in Simulation (MATCOM) 1
Source
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RePEc 4 EconStor 2
Showing 1 - 6 of 6
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Calculation of Multivariate Normal Probabilities by Simulation, with Applications to Maximum Simulated Likelihood Estimation
Cappellari, Lorenzo; Jenkins, Stephen P. - 2006
purpose: mvdraws for deriving draws from the standard uniform density using either Halton or pseudo-random sequences, and an …
Persistent link: https://www.econbiz.de/10010260956
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Calculation of multivariate normal probabilities by simulation, with applications to maximum simulated likelihood estimation
Cappellari, Lorenzo; Jenkins, Stephen P. - 2006
purpose: -mdraws- for deriving draws from the standard uniform density using either Halton or pseudo-random sequences, and an …
Persistent link: https://www.econbiz.de/10010267543
Saved in:
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Calculation of Multivariate Normal Probabilities by Simulation, with Applications to Maximum Simulated Likelihood Estimation
Cappellari, Lorenzo; Jenkins, Stephen P. - DIW Berlin (Deutsches Institut für Wirtschaftsforschung) - 2006
purpose: mvdraws for deriving draws from the standard uniform density using either Halton or pseudo-random sequences, and an …
Persistent link: https://www.econbiz.de/10004963950
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Studying the effect of using low-discrepancy sequences to initialize population-based optimization algorithms
Omran, Mahamed; al-Sharhan, Salah; Salman, Ayed; Clerc, … - In: Computational Optimization and Applications 56 (2013) 2, pp. 457-480
In this paper, we investigate the use of low-discrepancy sequences to generate an initial population for population-based optimization algorithms. Previous studies have found that low-discrepancy sequences generally improve the performance of a population-based optimization algorithm. However,...
Persistent link: https://www.econbiz.de/10010698279
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Cover Image
Calculation of Multivariate Normal Probabilities by Simulation, with Applications to Maximum Simulated Likelihood Estimation
Cappellari, Lorenzo; Jenkins, Stephen P. - Institute for the Study of Labor (IZA) - 2006
purpose: -mdraws- for deriving draws from the standard uniform density using either Halton or pseudo-random sequences, and an …
Persistent link: https://www.econbiz.de/10005566499
Saved in:
Cover Image
Pseudo random sequences generated by piecewise linear maps from the view point of dynamical system
Mori, Makoto - In: Mathematics and Computers in Simulation (MATCOM) 55 (2001) 1, pp. 177-189
Persistent link: https://www.econbiz.de/10010749867
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