3 papers
math.ST2020
Flexible mean field variational inference using mixtures of non-overlapping exponential families
Jeffrey P. Spence
Sparse models are desirable for many applications across diverse domains as they can perform automatic variable selection, aid interpretability, and provide regularization. When fi…
q-bio.PE2018
Inference of Population History using Coalescent HMMs: Review and Outlook
Jeffrey P. Spence, Matthias Steinrücken, Jonathan Terhorst +1
Studying how diverse human populations are related is of historical and anthropological interest, in addition to providing a realistic null model for testing for signatures of natu…
cs.LG2018
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
Jeffrey Chan, Valerio Perrone, Jeffrey P. Spence +3
An explosion of high-throughput DNA sequencing in the past decade has led to a surge of interest in population-scale inference with whole-genome data. Recent work in population gen…