Journal of Computational and Graphical Statistics, Vol. 26, No. 3 (SEPTEMBER 2017), pp. 646-657 (12 pages) In many applications involving spatial point patterns, we find evidence of inhibition or ...

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 ...

ABC (approximate Bayesian computation) is a general approach for dealing with models with an intractable likelihood. In this work, we derive ABC algorithms based on QMC (quasi-Monte Carlo) sequences.

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 ...

PITTSBURGH (July 9, 2019) … A bioengineering group from the University of Pittsburgh Swanson School of Engineering is bringing the worlds of computational modeling and experimentation closer together ...