K
Kerrie Mengersen
Researcher at Queensland University of Technology
Publications - 780
Citations - 23955
Kerrie Mengersen is an academic researcher from Queensland University of Technology. The author has contributed to research in topics: Bayesian probability & Population. The author has an hindex of 65, co-authored 737 publications receiving 20058 citations. Previous affiliations of Kerrie Mengersen include Colorado State University & QIMR Berghofer Medical Research Institute.
Papers
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Journal ArticleDOI
Bayesian Computation and Stochastic Systems
TL;DR: Basic methodology of MCMC is presented, emphasizing the Bayesian paradigm, conditional probability and the intimate relationship with Markov random fields in spatial statistics, and particular emphasis on the calculation of posterior probabilities.
BookDOI
Handbook of Meta-analysis in Ecology and Evolution
TL;DR: This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced meta-analysts.
Journal ArticleDOI
Size distribution and sites of origin of droplets expelled from the human respiratory tract during expiratory activities
Lidia Morawska,Graham R. Johnson,Zoran Ristovski,Megan Hargreaves,Kerrie Mengersen,Stephen Corbett,Christopher Y.H. Chao,Yuguo Li,David Katoshevski +8 more
TL;DR: In this article, a new expiratory droplet investigation system (EDIS) was used to conduct the most comprehensive program of study to date, of the dilution corrected droplet size distributions produced during different respiratory activities.
Journal ArticleDOI
Characterization of expiration air jets and droplet size distributions immediately at the mouth opening
Christopher Y.H. Chao,M.P. Wan,Lidia Morawska,Graham R. Johnson,Zoran Ristovski,Megan Hargreaves,Kerrie Mengersen,Stephen Corbett,Yuguo Li,Xaiojan Xie,David Katoshevski +10 more
TL;DR: The size distributions of expiratory droplets expelled during coughing and speaking and the velocities of the expiration air jets of healthy volunteers were measured using the interferometric Mie imaging and particle image velocimetry techniques to avoid air sampling losses.
Journal ArticleDOI
Eliciting Expert Knowledge in Conservation Science
Tara G. Martin,Tara G. Martin,Mark A. Burgman,Fiona Fidler,Petra M. Kuhnert,Samantha Low-Choy,Samantha Low-Choy,Marissa F. McBride,Kerrie Mengersen +8 more
TL;DR: Four aspects of an expert elicitation exercise are suggested to be examined to determine its comprehensiveness and effectiveness: study design and context, elicit design, elicitation method, and elicitation output.