Adjunct Associate Professor Sama Low Choy - QUT - Research Data Finder

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Sama Low Choy

Adjunct Associate Professor Sama Low Choy

Adjunct Associate Professor
Science and Engineering Faculty
Mathematical Sciences

Viewed: 1425

Associate Professor Sama Low Choy's research focuses on the application of statistics to environmental and ecological problems. Her particular research interest is in the use of expert knowledge to inform statistical modelling using the Bayesian framework.

Publications

Author publications, as listed on QUT ePrints http://eprints.qut.edu.au/view/person/Low_Choy,_Sama.html

Research areas

Statistics

Connections

Is collector of

Bayesian classification and regression trees for predicting incidence of cryptosporidiosis: changes (%) in relative risks with 95% credible intervals from Bayesian spatiotemporal CAR models of cryptosporidiosis in Queensland, Australia

Bayesian classification and regression trees for predicting incidence of cryptosporidiosis: confusion or loss matrix - classification of observed versus predicted presence and absences from the Bayesian CART model

Bayesian classification and regression trees for predicting incidence of cryptosporidiosis: quantiles of log residual sums of squares (RSS), deviance and log posterior for training and validation datasets over all accepted trees, for Bayesian regression trees

Bayesian classification and regression trees for predicting incidence of cryptosporidiosis: quantiles of sensitivity, specificity and log posterior for training and validation datasets over all accepted trees, for Bayesian classification trees

Bayesian classification and regression trees for predicting incidence of cryptosporidiosis: top 5 of the set of 16 best trees based on sensitivity, specificity, accuracy and deviance

Contacts

Name: Adjunct Associate Professor Sama Low Choy

Email: s.low-choy@griffith.edu.au

More: https://scholar.google.com.au/citations?user=U_hq61QAAAAJ&hl=en

Other

Date record created:

2013-12-06

Date record modified:

2019-07-04T10:56:17

Record status:

Published - Open Access