Proponents of the model known as the “human revolution” claim that modern human
behaviors arose suddenly, and nearly simultaneously, throughout the Old World ca. 40 …

Understanding the forces that influence natural variation within and among populations has
been a major objective of evolutionary biologists for decades. Motivated by the growth in …

Many aspects of the historical relationships between populations in a species are reflected
in genetic data. Inferring these relationships from genetic data, however, remains a …

Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …

We propose a new method for approximate Bayesian statistical inference on the basis of
summary statistics. The method is suited to complex problems that arise in population …

As the world becomes increasingly complex, so do the statistical models required to analyse
the challenging problems ahead. For the very first time in a single volume, the Handbook of …

History Markov chain Monte Carlo (MCMC) methods, in which plausible values for unknown
quantities are simulated from their appropriate probability distribution, have revolutionised …

Motivation: DIYABC is a software package for a comprehensive analysis of population
history using approximate Bayesian computation on DNA polymorphism data. Version 2.0 …

We have addressed the geophysical problem of obtaining an elastic model of the
subsurface from recorded normal-incidence seismic data using convolutional neural …

Approximate Bayesian computation (ABC) methods can be used to evaluate posterior
distributions without having to calculate likelihoods. In this paper, we discuss and apply an …