Abstract Approximate Bayesian Computation (ABC) techniques are a suite of model fitting
methods which can be implemented without a using likelihood function. In order to use ABC …

Cell size varies during the cell cycle and in response to external stimuli. This requires the
tight coordination, or" scaling," of mRNA and protein quantities with the cell volume in order …

Abstract Background MacArthur and Wilson's theory of island biogeography has been a
foundation for obtaining testable predictions from models of community assembly and for …

Adapting the ABC Distance Function Page 1 Bayesian Analysis (2017) 12, Number 1, pp.
289–309 Adapting the ABC Distance Function Dennis Prangle ∗† Abstract. Approximate …

CityCOVID is a detailed agent-based model that represents the behaviors and social
interactions of 2.7 million residents of Chicago as they move between and colocate in 1.2 …

The role of epistasis in driving adaptation has remained an unresolved problem dating back
to the Evolutionary Synthesis. In particular, whether epistatic interactions among genes …

The modelling of many real-world problems relies on computationally heavy simulations of
randomly interacting individuals or agents. However, the values of the parameters that …

Bayesian inference is often used in cosmology and astrophysics to derive constraints on
model parameters from observations. This approach relies on the ability to compute the …

Approximate Bayesian Computation and Simulation-Based Inference for Complex Stochastic
Epidemic Models Page 1 Statistical Science 2018, Vol. 33, No. 1, 4–18 https://doi.org/10.1214/17-STS618 …

Approximate Bayesian computation (ABC), a type of likelihood‐free inference, is a family of
statistical techniques to perform parameter estimation and model selection. It is increasingly …