activity
19982014
most citedEfficient computation with a linear mixed model on large-scale data sets with applications to genetic studies

114 citations · 133 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ML2014

A Greedy Homotopy Method for Regression with Nonconvex Constraints

Fabian L. Wauthier, Peter Donnelly

Constrained least squares regression is an essential tool for high-dimensional data analysis. Given a partition of input variables, this paper considers a particular…

stat.AP2012★ 114 cited

Efficient computation with a linear mixed model on large-scale data sets with applications to genetic studies

Matti Pirinen, Peter Donnelly, Chris C. A. Spencer

Motivated by genome-wide association studies, we consider a standard linear model with one additional random effect in situations where many predictors have been collected on the s…

stat.ME2010★ 19 cited

A Bayesian Method for Detecting and Characterizing Allelic Heterogeneity and Boosting Signals in Genome-Wide Association Studies

Zhan Su, Niall Cardin, the Wellcome Trust Case Control Consortium +2

The standard paradigm for the analysis of genome-wide association studies involves carrying out association tests at both typed and imputed SNPs. These methods will not be optimal…

stat.ME2010

The coalescent and its descendants

Peter Donnelly, Stephen Leslie

The coalescent revolutionised theoretical population genetics, simplifying, or making possible for the first time, many analyses, proofs, and derivations, and offering crucial insi…

math.PR1998

Continuum-sites stepping-stone models, coalescing exhcangeable partitions, and random trees

Peter Donnelly, Steven N. Evans, Klaus Fleischmann +2

Analogues of stepping--stone models are considered where the site--space is continuous, the migration process is a general Markov process, and the type--space is infinite. Such pro…