This highly acclaimed text, now available in paperback, provides a thorough account of key
concepts and theoretical results, with particular emphasis on viewing statistical inference as …

Stochastic substitution, the Gibbs sampler, and the sampling-importance-resampling algorithm
can be viewed as three alternative sampling- (or Monte Carlo-) based approaches to the …

Even to the initiated, statistical calculations based on Bayes's Theorem can be daunting
because of the numerical integrations required in all but the simplest applications. Moreover, …

Background Laparoscopic-assisted surgery for colorectal cancer has been widely adopted
without data from large-scale randomised trials to support its use. We compared short-term …

A quasi-evolutionary model of socio-technical transitions is described in which regimes face
selection pressures continuously. Differentiated transition contexts determine the form and …

… LINDLEY AND SMITH - Bayes Estimates for the Linear Model … Discussion on the
Paper by Professor Lindley and Dr Smith … Here the Lindley-Smith estimates of the …

The urgency of charting pathways to sustainability that keep human societies within a "safe
operating space" has now been clarified. Crises in climate, food, biodiversity, and energy are …

An algorithm, the bootstrap filter, is proposed for implementing recursive Bayesian filters. The
required density of the state vector is represented as a set of random samples, which are …

The use of the Gibbs sampler for Bayesian computation is reviewed and illustrated in the
context of some canonical examples. Other Markov chain Monte Carlo simulation methods are …

Sustainable development is prompting a re-assessment of innovation and technological
change. This review paper contributes three things towards this re-assessment activity. First, it …