11 citations · 11 across the 2 of their papers we have counts for
2 papers
stat.AP2016
A nonparametric HMM for genetic imputation and coalescent inference
Lloyd T. Elliott, Yee Whye Teh
Genetic sequence data are well described by hidden Markov models (HMMs) in which latent states correspond to clusters of similar mutation patterns. Theory from statistical genetics…
stat.CO2012★ 11 cited
Driving Markov chain Monte Carlo with a dependent random stream
Iain Murray, Lloyd T. Elliott
Markov chain Monte Carlo is a widely-used technique for generating a dependent sequence of samples from complex distributions. Conventionally, these methods require a source of ind…