Bayesian Computation and Stochastic Systems
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.
Rates of convergence of the Hastings and Metropolis algorithms
Recent results in Markov chain theory are applied to Hastings and Metropolis algorithms with either independent or symmetric candidate distributions, and it is shown geometric convergence essentially occurs if and only if $pi$ has geometric tails.
Handbook of Meta-analysis in Ecology and Evolution
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.
Characterization of expiration air jets and droplet size distributions immediately at the mouth opening
Size distribution and sites of origin of droplets expelled from the human respiratory tract during expiratory activities
Modality of human expired aerosol size distributions
Eliciting Expert Knowledge in Conservation Science
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.
Bayesian Modelling and Inference on Mixtures of Distributions
Asymptotic behaviour of the posterior distribution in overfitted mixture models
Summary. We study the asymptotic behaviour of the posterior distribution in a mixture model when the number of components in the mixture is larger than the true number of components: a situation…
Climate change and dengue: a critical and systematic review of quantitative modelling approaches
- S. Naish, P. Dale, J. Mackenzie, J. McBride, K. Mengersen, S. Tong
- MedicineBMC Infectious Diseases
- 26 March 2014
It is important to assemble spatio-temporal patterns of d Dengue transmission compatible with long-term data on climate and other socio-ecological changes and this would advance projections of dengue risks associated with climate change.