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 ...
Proceedings of the National Academy of Sciences of the United States of America, Vol. 108, No. 37 (September 13, 2011), pp. 15112-15117 (6 pages) Approximate Bayesian computation (ABC) have become an ...
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 ...
In biological invasions, a large proportion of the genetic variability of an invading population depends on the historical and demographic features of its introduction: the number and genetic ...
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 ...
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