Thomas Brendan Murphy
Biographic Data
| ID | 4164011 |
|---|---|
| NAME | Thomas Brendan Murphy |
| GIVEN NAMES | Thomas Brendan |
| FAMILY NAME | Murphy |
| SIGNATURE | MURPHY T B |
| AFFILIATIONS | University College Dublin |
| ORCID | 0000-0002-5668-7046 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Numbers of close contacts of individuals infected with Sars-CoV-2 and their association with government intervention strategies
We found that the number of contacts per infected case was overdispersed, the mean varied considerable over time and was temporally associated with government interventions. Analysis of the reported number of contacts per individual in contact tracing data may be a useful early indicator of changes in behaviour in response to, or indeed despite, government restrictions. This study provides useful information for triangulating assumptions regardin…
McLust 5
Finite mixture models are being used increasingly to model a wide variety of random phenomena for clustering, classification and density estimation. mclust is a powerful and popular package which allows modelling of data as a Gaussian finite mixture with different covariance structures and different numbers of mixture components, for a variety of purposes of analysis. Recently, version 5 of the package has been made available on CRAN. This update…
Mixed-membership of experts stochastic blockmodel
Social network analysis is the study of how links between a set of actors are formed. Typically, it is believed that links are formed in a structured manner, which may be due to, for example, political or material incentives, and which often may not be directly observable. The stochastic blockmodel represents this structure using latent groups which exhibit different connective properties, so that conditional on the group membership of two actors…
Mixed-membership of experts stochastic blockmodel
Social network analysis is the study of how links between a set of actors are formed. Typically, it is believed that links are formed in a structured manner, which may be due to, for example, political or material incentives, and which often may not be directly observable. The stochastic blockmodel represents this structure using latent groups which exhibit different connective properties, so that conditional on the group membership of two actors…
Mixed-membership of experts stochastic blockmodel
Social network analysis is the study of how links between a set of actors are formed. Typically, it is believed that links are formed in a structured manner, which may be due to, for example, political or material incentives, and which often may not be directly observable. The stochastic blockmodel represents this structure using latent groups which exhibit different connective properties, so that conditional on the group membership of two actors…
McLust 5
Finite mixture models are being used increasingly to model a wide variety of random phenomena for clustering, classification and density estimation. mclust is a powerful and popular package which allows modelling of data as a Gaussian finite mixture with different covariance structures and different numbers of mixture components, for a variety of purposes of analysis. Recently, version 5 of the package has been made available on CRAN. This update…
Numbers of close contacts of individuals infected with Sars-CoV-2 and their association with government intervention strategies
We found that the number of contacts per infected case was overdispersed, the mean varied considerable over time and was temporally associated with government interventions. Analysis of the reported number of contacts per individual in contact tracing data may be a useful early indicator of changes in behaviour in response to, or indeed despite, government restrictions. This study provides useful information for triangulating assumptions regardin…
Computer Science (2 works) · Data mining (2 works) · Mathematics (2 works) · Statistics (2 works) · Advanced Clustering Algorithms Research (1 work) · Algorithm (1 work) · Algorithms and Data Compression (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Bayesian Methods and Mixture Models (1 work)