This important study advances existing approaches for demographic inference by incorporating rapidly mutating markers such as switches in methylation state. The authors provide a solid comparison of ...

To infer the histories of population admixture, one important challenge with methods based on the admixture linkage disequilibrium (ALD) is to remove the effect of source LD (SLD), which is directly ...

This important study extends existing sequentially Markovian coalescent approaches to include the combined use of SNPs and hypervariable loci such as epimutations. This is an intriguing addition to ...

An increasing number of population genomic studies now try to infer complex models of population history using a number of whole-genome sequences sampled from multiple populations. A key technical ...

In an isolated population, individuals are likely to share large genetic regions inherited from common ancestors. Identity by descent (IBD) can be inferred from SNP genotypes, which is useful in a ...

Systematic Biology, Vol. 64, No. 1, SPECIAL ISSUE: MATHEMATICAL AND COMPUTATIONAL EVOLUTIONARY BIOLOGY (2013) (JANUARY 2015), pp. 66-83 (18 pages) Species tree methods are now widely used to infer the ...

Generalized Linear Models (GLMs) are commonly used statistical methods for modelling the relationship between neural population activity and presented stimuli. When the dimension of the parameter ...

The second century Alexandrian astronomer and mathematician Claudius Ptolemy had a grand ambition. Hoping to make sense of the motion of stars and the paths of planets, he published a magisterial ...

This project demonstrates the use of Bayesian inference and Markov Chain Monte Carlo (MCMC) to estimate the degradation of a population of units over time. The focus is on analyzing population-level ...