340 citations · 344 across the 4 of their papers we have counts for
4 papers
Fast model-fitting of Bayesian variable selection regression using the iterative complex factorization algorithm
Quan Zhou, Yongtao Guan
Bayesian variable selection regression (BVSR) is able to jointly analyze genome-wide genetic datasets, but the slow computation via Markov chain Monte Carlo (MCMC) hampered its wid…
Detecting the structure of haplotypes, local ancestry and excessive local European ancestry in Mexicans
Yongtao Guan
We present a two-layer hidden Markov model to detect structure of haplotypes for unrelated individuals. This allows modeling two scales of linkage disequilibrium (one within a grou…
Small World MCMC with Tempering: Ergodicity and Spectral Gap
Yongtao Guan, Matthew Stephens
When sampling a multi-modal distribution , $x\in \rr^d$, a Markov chain with local proposals is often slowly mixing; while a Small-World sampler \citep{guankrone} -- a Markov…
Bayesian variable selection regression for genome-wide association studies and other large-scale problems
Yongtao Guan, Matthew Stephens
We consider applying Bayesian Variable Selection Regression, or BVSR, to genome-wide association studies and similar large-scale regression problems. Currently, typical genome-wide…