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Bivariate Gamma Mixture of Experts Models for Joint Insurance Claims Modeling

Autor: Hu, Sen, Murphy, T Brendan, O'Hagan, Adrian

In general insurance, risks from different categories are often modeled independently and their sum is regarded as the total risk the insurer takes on in exchange for a premium. The dependence from multiple risks is generally neglected even when corr

Externí odkaz: http://arxiv.org/abs/1904.04699

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Akademický článek

Numbers of close contacts of individuals infected with SARS-CoV-2 and their association with government intervention strategies

Publikováno v: BMC Public Health, Vol 21, Iss 1, Pp 1-12 (2021)

Abstract Background Contact tracing is conducted with the primary purpose of interrupting transmission from individuals who are likely to be infectious to others. Secondary analyses of data on the numbers of close contacts of confirmed cases could al

Externí odkaz: https://doaj.org/article/bd4d22a06b7f48c4a8563ac328d7ed23

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Akademický článek

A risk calculator to inform the need for a prostate biopsy: a rapid access clinic cohort

Autor: Amirhossein Jalali, Robert W. Foley, Robert M. Maweni, Keefe Murphy, Dara J. Lundon, Thomas Lynch, Richard Power, Frank O’Brien, Kieran J. O’Malley, David J. Galvin, Garrett C. Durkan, T. Brendan Murphy, R. William Watson

Publikováno v: BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-11 (2020)

Abstract Background Prostate cancer (PCa) represents a significant healthcare problem. The critical clinical question is the need for a biopsy. Accurate risk stratification of patients before a biopsy can allow for individualised risk stratification

Externí odkaz: https://doaj.org/article/66b34bff30a74bed815f026ff076a139

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Standardizing Interestingness Measures for Association Rules

Autor: Shaikh, Mateen, McNicholas, Paul D., Antonie, M. Luiza, Murphy, T. Brendan

Interestingness measures provide information that can be used to prune or select association rules. A given value of an interestingness measure is often interpreted relative to the overall range of the values that the interestingness measure can take

Externí odkaz: http://arxiv.org/abs/1308.3740

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Mixture-Based Classification

Autor: Luca Scrucca, Chris Fraley, T. Brendan Murphy, Adrian E. Raftery