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Sequential Monte Carlo EM for multivariate probit models
Moffa, Giusi and Kuipers, Jack (2014) Sequential Monte Carlo EM for multivariate probit models. Comp. Stats. & Data An. 72, pp. 252-272.Date of publication of this fulltext: 22 Jul 2011 07:19
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| Item type | Article | ||||
| Journal or Publication Title | Comp. Stats. & Data An. | ||||
| Publisher: | ELSEVIER SCIENCE BV | ||||
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| Place of Publication: | AMSTERDAM | ||||
| Volume: | 72 | ||||
| Page Range: | pp. 252-272 | ||||
| Date | 2014 | ||||
| Institutions | Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang) Informatics and Data Science > Department Computational Life Science > Lehrstuhl für Statistische Bioinformatik (Prof. Spang) Physics > Institute of Theroretical Physics | ||||
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| Keywords | MAXIMUM-LIKELIHOOD-ESTIMATION; MARKOV-CHAIN; BAYESIAN-ANALYSIS; PARAMETER EXPANSION; ALGORITHM; BINARY; SIMULATION; INFERENCE; MATRIX; Maximum likelihood; Multivariate probit; Monte Carlo EM; Adaptive sequential Monte Carlo | ||||
| Dewey Decimal Classification | 500 Science > 530 Physics 600 Technology > 610 Medical sciences Medicine | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Partially | ||||
| Item ID | 21577 |
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