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EnglishThis paper uses the Bayesian model-selection to find the linear regression that is most supported by the data. It uses a hierarchical model to improve and to extend to weighted data from the results of a previous investigation. As an application example, it shows how the results can be used to investigate the consistency of measurements carried out to determine the central second-moment of the angular power-spectrum of a laser beam.
Bayesian model selection applied to linear regressions with weighted data / Mana, Giovanni; Massa, Enrico; Sasso, Carlo Paolo. - In: METROLOGIA. - ISSN 0026-1394. - 56:2(2019).
| Titolo: | Bayesian model selection applied to linear regressions with weighted data | |
| Autori: | ||
| Data di pubblicazione: | 2019 | |
| Rivista: | METROLOGIA | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1088/1681-7575/ab0338 | |
| Abstract: | This paper uses the Bayesian model-selection to find the linear regression that is most supported... by the data. It uses a hierarchical model to improve and to extend to weighted data from the results of a previous investigation. As an application example, it shows how the results can be used to investigate the consistency of measurements carried out to determine the central second-moment of the angular power-spectrum of a laser beam. | |
| Full-text (pubblici): | partially_open | |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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| 2019_Bayesian_model_revised.pdf | Documento in Post-print |  | Visibile a tuttiVisualizza/Apri |
http://hdl.handle.net/11696/60147
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