Bayesian statistical modelling

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Bayesian MCMC flood frequency analysis with historical information (2005, background): “Moreover, a Bayesian analysis can provide credible intervals for parameters or any function of the parameters which are more easily interpreted than the concept of confidence interval in classical statistics (Congdon, 2001).”
The Theoretical Biologist's Toolbox: Quantitative Methods for Ecology and Evolutionary Biology (2006, background): “For more general details, I suggest any of Martz and Waller (1982), Leonard and Hsu (1999), or Congdon (2001).”
A markov random field model of contamination source identification in porous media flow (2006, methodology): “There are a number of standard techniques to model the prior distribution, some of which are known as conjugate priors and Jeffery’s priors [12].”