5 papers
Empirical Bayes Shrinkage of Functional Effects, with Application to Analysis of Dynamic eQTLs
Ziang Zhang, Peter Carbonetto, Matthew Stephens
We introduce functional adaptive shrinkage (FASH), an empirical Bayes method for joint analysis of observation units in which each unit estimates an effect function at several valu…
Bayesian Optimization Sequential Surrogate (BOSS) Algorithm: Fast Bayesian Inference for a Broad Class of Bayesian Hierarchical Models
Dayi Li, Ziang Zhang
Approximate Bayesian inference based on Laplace approximation and quadrature methods have become increasingly popular for their efficiency at fitting latent Gaussian models (LGM),…
Efficient Modeling of Quasi-Periodic Data with Seasonal Gaussian Process
Ziang Zhang, Patrick Brown, Jamie Stafford
Quasi-periodicity refers to a pattern in a function where it appears periodic but has evolving amplitudes over time. This is often the case in practical settings such as the modeli…
Model-based Smoothing with Integrated Wiener Processes and Overlapping Splines
Ziang Zhang, Alex Stringer, Patrick Brown +1
In many applications that involve the inference of an unknown smooth function, the inference of its derivatives will often be just as important as that of the function itself. To m…
The hidden factor: accounting for covariate effects in power and sample size computation for a binary trait
Ziang Zhang, Lei Sun
Accurate power and sample size estimation are crucial to the design and analysis of genetic association studies. When analyzing a binary trait via logistic regression, important co…