Please refer to QUT’s eprints to search for Publications by each member of BRAG – Below is a sample of Kerrie’s 2014 publications:
Farr, Anna Charisse, Simpson, Daniel, Ruggeri, Fabrizio, & Mengersen, Kerrie (2014) Combining opinions for use in Bayesian networks : a measurement error approach. PLoS One. (In Press)
Hu, Wenbiao, Zhang, Wenyi, Huang, Xiaodong, Clements, Archie, Mengersen, Kerrie, & Tong, Shilu (2014) Weather variability and influenza A (H7N9) transmission in Shanghai, China: A Bayesian spatial analysis. Environmental Research, 136, pp. 405-412.
Caley, M. Julian, O’Leary, Rebecca A., Fisher, Rebecca, Low-Choy, Samantha, Johnson, Sandra, & Mengersen, Kerrie (2014) What is an expert? A systems perspective on expertise.Ecology and Evolution, 4(3), pp. 231-242.
Wu, Paul Pao-Yen, Pitchforth, Jegar, & Mengersen, Kerrie (2014) A Hybrid Queue-based Bayesian Network framework for passenger facilitation modelling. Transportation Research Part C: Emerging Technologies, 46, 247- 260.
Kang, Su Yun, McGree, James, & Mengersen, Kerrie (2014) Bayesian hierarchical models for analysing spatial point-based data at a grid level : a comparison of approaches.Environmental and Ecological Statistics. (In Press)
Pitchforth, Jegar, Wu, Paul P., & Mengersen, Kerrie (2014) Applying a validation framework to a working airport terminal model. Expert Systems with Applications, 41(9), pp. 4388-4400.
Xu, Dong, Cole, Michael H., Mengersen, Kerrie, Silburn, Peter A., Qiu, Feng, Graepel, Cara, et al. (2014) Executive function and postural instability in people with Parkinson’s disease.Parkinson’s Disease, 2014, p. 684758.
Kang, Su Yun, McGree, James, & Mengersen, Kerrie (2014) The choice of spatial scales and spatial smoothness priors for various spatial patterns. Spatial and Spatio-temporal Epidemiology, 10, pp. 11-26.
Kang, Su Yun, McGree, James, Baade, Peter, & Mengersen, Kerrie (2014) An investigation of the impact of various geographical scales for the specification of spatial dependence.Journal of Applied Statistics, 41(11), pp. 2515-2538.
Algama, Manjula, Oldmeadow, Christopher, Tasker, Edward, Mengersen, Kerrie, & Keith, Jonathan M. (2014) Drosophila 3′ UTRs are more complex than protein-coding sequences.PLoS ONE, 9(5), e97336.
Yarlagadda, Prasad K., Rosemann, Michael, Mengersen, Kerrie, Popovic, Vesna, Sridharan, Sridha, Fookes, Clinton B., et al. (2014) Airports of the future : improving operation, security and experience. Queensland University of Technology, Brisbane, QLD.
Farr, Anna Charisse, Kleinschmidt, Tristan, Johnson, Sandra, Yarlagadda, Prasad K.D.V., & Mengersen, Kerrie L. (2014) Investigating effective wayfinding in airports : a Bayesian network approach. Transport, 29(1), pp. 90-99.
Reddy, Vikas, Farr, Anna Charisse, Wu, Paul P., Mengersen, Kerrie, & Yarlagadda, Prasad K.D.V. (2014) An intuitive dashboard for Bayesian network inference. In Journal of Physics: Conference Series, Institute of Physics Publishing Ltd., 012023.
Buys, Laurie, Mengersen, Kerrie, Johnson, Sandra, van Buuren, Neil, & Miller, Evonne (2014) A Triple Bottom Line Planning Tool for Measuring Sustainability : A Systems Approach to Sustainability Using the Australian Dairy Industry as a Case Study. Chartridge Books Oxford.
Buys, Laurie, Mengersen, Kerrie, Johnson, Sandra, van Buuren, Neil, & Chauvin, Anita (2014) Creating a Sustainability Scorecard as a predictive tool for measuring the complex social, economic and environmental impacts of industries, a case study : assessing the viability and sustainability of the dairy industry. Journal of Environmental Management, 133, pp. 184-192.
Yu, Weiwei, Mengersen, Kerrie L., Dale, Pat, Mackenzie, John S., Toloo, Ghasem (Sam), Wang, Xiaoyu, et al. (2014) Epidemiological patterns of Ross River virus disease in Queensland, Australia, 2001-2011. American Journal of Tropical Medicine and Hygiene, 91(1), pp. 109-118.
Deng, Yong, Vercelloni, Julie, Caley, M. Julian, Kayal, Mohsen, Low-Choy, Samantha, & Mengersen, Kerrie (2014) Understanding Uncertainties in Non-Linear Population Trajectories: A Bayesian Semi-Parametric Hierarchical Approach to Large-Scale Surveys of Coral Cover. PLoS ONE, 9(11), e110968-e110968.
Harden, Fiona, Davis, Gabrielle, & Mengersen, Kerrie (2014) The tertiary debate : a case study analysis of factors considered when applying for university entry by traditional age school leavers in Brisbane. Australian Universities’ Review, 56(1), pp. 39-46.
Hargrave, Catriona Elizabeth, Moores, Matthew T., Deegan, Timothy, Gibbs, Adrian, Poulsen, Michael, Harden, Fiona, et al. (2014) Constructing a clinical decision-making framework for image-guided radiotherapy using a Bayesian Network. Journal of Physics : Conference Series, 489(1), 012074 .
Moores, Matthew T., Hargrave, Catriona Elizabeth, Harden, Fiona, & Mengersen, Kerrie (2014) Segmentation of cone-beam CT using a hidden Markov random field with informative priors. Journal of Physics : Conference Series, 489.
Naish, Suchithra, Dale, Pat, Mackenzie, John S., McBride, John, Mengersen, Kerrie, & Tong, Shilu (2014) Spatial and temporal patterns of locally-acquired dengue transmission in northern Queensland, Australia, 1993-2012. Plos One, 9(4), e92524.
Qi, Xin, Hu, Wenbiao, Mengersen, Kerrie, & Tong, Shilu (2014) Socio-environmental drivers and suicide in Australia: Bayesian spatial analysis. BMC Public Health, 14(681).
Strickland, Christopher Mark, Burdett, Robert L., Denham, Robert, & Mengersen, Kerrie L. (2014) PySSM : a Python module for Bayesian inference of linear Gaussian state space models. Journal of Statistical Software, 57(6).
Wraih, Darren, Mengersen, Kerrie, Alston, Clair, Rousseau, Judith, & Hussein, Tareq (2014) Using informative priors in the estimation of mixtures over time with application to aerosol particle size distributions. The Annals of Applied Statistics, 8(1), pp. 232-258.
Yu, Weiwei, Mengersen, Kerrie, Dale, Pat, Ye, Xiaofang, Guo, Yuming, Turner, Lyle, et al. (2014) Projecting future transmission of malaria under climate change scenarios : challenges and research needs. Critical Reviews in Environmental Science and Technology, 45(7), pp. 777-811.