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 ...
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 ...
Over the past ten years, Approximate Bayesian Computation (ABC) has become hugely popular to estimate the parameters of a model when the likelihood function cannot be computed in a reasonable amount ...
Indirect inference (II) is a methodology for estimating the parameters of an intractable (generative) model on the basis of an alternative parametric (auxiliary) model that is both analytically and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results