The common numerical problem in Bayesian analysis is the numerical integration of the posterior. In high dimensions, this problem becomes too formidable for fixed quadrature methods, and Monte Carlo ...

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 likelihood‐free 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 ...

Scientists and philosophers meet at the bleeding edge of simulation theory. Because the question is so big, many experts approach it from very different angles. The weighted Bayesian calculation has a ...

Research computing uses supercomputers and computer clusters to solve advanced computation problems that cannot be addressed using a typical workstation or laptop, because they are highly ...