Frühwirth, Rudolf and Eckstein, Korbinian and Frühwirth-Schnatter, Sylvia (2016) Vertex finding by sparse model-based clustering. Journal of Physics: Conference Series, 762 (1). pp. 1-5. ISSN 1742-6596
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Official URL: http://dx.doi.org/10.1088/1742-6596/762/1/012055
Abstract
The application of sparse model-based clustering to the problem of primary vertex finding is discussed. The observed z-positions of the charged primary tracks in a bunch crossing are modeled by a Gaussian mixture. The mixture parameters are estimated via Markov Chain Monte Carlo (MCMC). Sparsity is achieved by an appropriate prior on the mixture weights. The results are shown and compared to clustering by the expectation-maximization (EM) algorithm.
Item Type: | Article |
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Divisions: | Departments > Finance, Accounting and Statistics > Statistics and Mathematics |
Version of the Document: | Published |
Depositing User: | Gertraud Novotny |
Date Deposited: | 23 Mar 2018 11:19 |
Last Modified: | 07 May 2018 17:29 |
Related URLs: | |
FIDES Link: | https://bach.wu.ac.at/d/research/results/84753/ |
URI: | https://epub.wu.ac.at/id/eprint/6173 |
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