As population genomic datasets grow in size, researchers are faced with the daunting task
of making sense of a flood of information. To keep pace with this explosion of data …

Bayesian inference plays an important role in phylogenetics, evolutionary biology, and in
many other branches of science. It provides a principled framework for dealing with …

We introduce a flexible and robust simulation-based framework to infer demographic
parameters from the site frequency spectrum (SFS) computed on large genomic datasets …

Viral phylodynamics is defined as the study of how epidemiological, immunological, and
evolutionary processes act and potentially interact to shape viral phylogenies. Since the …

Abstract Motivation: Approximate Bayesian computation (ABC) methods provide an
elaborate approach to Bayesian inference on complex models, including model choice. Both …

Our paper deals with inferring simulator-based statistical models given some observed data.
A simulator-based model is a parametrized mechanism which specifies how data are …

Given genomic variation data from multiple individuals, computing the likelihood of complex
population genetic models is often infeasible. To circumvent this problem, we introduce a …

Supplement to “A Comparative Review of Dimension Reduction Methods in Approximate
Bayesian Computation”. The supplement contains for each of the three examples a …

Summary The Cycladic, the Minoan, and the Helladic (Mycenaean) cultures define the
Bronze Age (BA) of Greece. Urbanism, complex social structures, craft and agricultural …

Human genes governing innate immunity provide a valuable tool for the study of the
selective pressure imposed by microorganisms on host genomes. A comprehensive …