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  • Search: subject:"independence chain Metropolis-Hasting algorithm"
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Year of publication
Subject
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Bayesian 6 R software 6 adaptive mixture 6 importance sampling 6 independence chain Metropolis-Hasting algorithm 6 Student-t distributions 4 Algorithmus 2 Bayes-Statistik 2 PC-Software 2 Statistische Verteilung 2 student-t distribution 2 Algorithm 1 Bayesian inference 1 Data collection method 1 Erhebungstechnik 1 PC software 1 Statistical distribution 1 Statistisches Auswahlverfahren 1
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Online availability
All
Free 6
Type of publication
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Book / Working Paper 6
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
All
Undetermined 4 English 2
Author
All
Ardia, David 4 Hoogerheide, Lennart F. 4 Dijk, Herman K. van 3 van Dijk, Herman K. 2 Ardia, D. 1 David, David, D. 1 Dijk, H.K. van 1 Hoogerheide, Hoogerheide, L.F. 1 Hoogerheide, L.F. 1
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Institution
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Erasmus University Rotterdam, Econometric Institute 1 Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam 1 Tinbergen Institute 1 Tinbergen Instituut 1
Published in...
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Tinbergen Institute Discussion Papers 2 Discussion paper / Tinbergen Institute 1 Econometric Institute Report 1 Econometric Institute Research Papers 1 Tinbergen Institute Discussion Paper 1
Source
All
RePEc 4 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 6 of 6
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Adaptive Mixture of Student-t distributions as a Flexible Candidate Distribution for Efficient Simulation
Ardia, David; Hoogerheide, Lennart F.; van Dijk, Herman K. - 2008
This paper presents the R package AdMit which provides functions to approximate and sample from a certain target distribution given only a kernel of the target density function. The core algorithm consists in the function AdMit which fits an adaptive mixture of Student-t distributions to the...
Persistent link: https://www.econbiz.de/10010326034
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Cover Image
The AdMit Package
Ardia, D.; Hoogerheide, L.F.; Dijk, H.K. van - Erasmus University Rotterdam, Econometric Institute - 2008
This short note presents the R package AdMit which provides flexible functions to approximate a certain target distribution and it provides an efficient sample of random draws from it, given only a kernel of the target density function. The estimation procedure is fully automatic and thus avoids...
Persistent link: https://www.econbiz.de/10004972203
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Adaptive Mixture of Student-t distributions as a Flexible Candidate Distribution for Efficient Simulation: the R Package AdMit
Ardia, David; Hoogerheide, Lennart F.; Dijk, Herman K. van - Tinbergen Instituut - 2008
This discussion paper resulted in a publication in the <I>Journal of Statistical Software<I> (2009). Vol. 29(3), 1-32.<P> This paper presents the R package AdMit which provides functions to approximate and sample from a certain target distribution given only a kernel of the target density function. The...</p></i></i>
Persistent link: https://www.econbiz.de/10011257456
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Cover Image
The AdMit Package
van Dijk, Herman K.; David, David, D.; Hoogerheide, … - Faculteit der Economische Wetenschappen, Erasmus … - 2008
This short note presents the R package AdMit which provides flexible functions to approximate a certain target distribution and it provides an efficient sample of random draws from it, given only a kernel of the target density function. The estimation procedure is fully automatic and thus avoids...
Persistent link: https://www.econbiz.de/10010731738
Saved in:
Cover Image
Adaptive Mixture of Student-t distributions as a Flexible Candidate Distribution for Efficient Simulation
Ardia, David; Hoogerheide, Lennart F.; Dijk, Herman K. van - Tinbergen Institute - 2008
This paper presents the R package AdMit which provides functions to approximate and sample from a certain target distribution given only a kernel of the target density function. The core algorithm consists in the function AdMit which fits an adaptive mixture of Student-t distributions to the...
Persistent link: https://www.econbiz.de/10005137315
Saved in:
Cover Image
Adaptive mixture of student-t distributions as a flexible Candidate distribution for efficient simulation
Ardia, David; Hoogerheide, Lennart F.; Dijk, Herman K. van - 2008 - Version of this paper: December 12, 2008
This paper presents the R package AdMit which provides functions to approximate and sample from a certain target distribution given only a kernel of the target density function. The core algorithm consists in the function AdMit which fits an adaptive mixture of Student-t distributions to the...
Persistent link: https://www.econbiz.de/10011376537
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