A bioengineering group is bringing the worlds of computational modeling and experimentation closer together by developing a methodology to help analyze the wealth of imaging data provided by ...
Approximate Bayesian Computation (ABC) is a likelihoodâfree inference methodology that has revolutionised the way researchers tackle complex problems where the likelihood function is difficult or ...
Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 76, No. 5 (NOVEMBER 2014), pp. 833-859 (27 pages) The choice of the summary statistics that are used in Bayesian ...
A unified approach to the nonhomogeneous Poisson process in software reliability models is given. This approach models the epochs of failures according to a general order statistics model or to a ...
Approaches for statistical inference -- The Bayes approach -- Bayesian computation -- Model criticism and selection -- The empirical Bayes approach -- Bayesian design -- Special methods and models -- ...
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