The implementation of the bayesian paradigm
A. F. M. Smith, A. M. Skene, J.E. Shaw, John C. Naylor, Mark T. Dransfield · Communication in Statistics- Theory and Methods · 1985
Routine implementation of the Bayesian paradigm requires an efficient approach to the calculation and display of posterior or predictive distributions for given likelihood and prior specifi- cations. In this paper we shall review some of the analytic and numerical approaches currently available, describing in detail a numerical integration strategy based on Gaussian quadrature, and an associated strategy for the reconstruction and display of distributions based on spline techniques.