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A Bayesian network model for linear circular data
Citation
Kato, Shogo and Leguey Vitoriano, Ignacio and Bielza Lozoya, María Concepción and Larrañaga Múgica, Pedro María (2017). A Bayesian network model for linear circular data. In: "10th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2017)", 16-18 Dic 2017, Londres, Reino Unido. p. 155.
Description
| Title: | A Bayesian network model for linear circular data |
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| Author/s: |
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| Item Type: | Presentation at Congress or Conference (Article) |
| Event Title: | 10th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2017) |
| Event Dates: | 16-18 Dic 2017 |
| Event Location: | Londres, Reino Unido |
| Title of Book: | CMStatistics 2017 |
| Date: | 2017 |
| Subjects: | |
| Faculty: | E.T.S. de Ingenieros Informáticos (UPM) |
| Department: | Inteligencia Artificial |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
In numerous academic fields, it is common that data include circular observations expressed as angles [−π, π). Because of the periodic nature of circular observations, a direct application of ordinary Bayesian network techniques could lead to an erroneous result in analysis. In this talk, we propose a tree-structured Bayesian network model for ‘linear–circular’ data, namely, data comprising of multiple linear and circular observations. The proposed model is an extension of the Bayesian network model of Leguey et al. (2016) for multivariate circular data
More information
| Item ID: | 51060 |
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| DC Identifier: | http://oa.upm.es/51060/ |
| OAI Identifier: | oai:oa.upm.es:51060 |
| Official URL: | http://cmstatistics.org/CMStatistics2017/fullprogramme.php |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 05 Jun 2019 08:53 |
| Last Modified: | 05 Jun 2019 08:53 |
