86 citations · 170 across the 3 of their papers we have counts for
3 papers
Variable Selection for Nonparametric Gaussian Process Priors: Models and Computational Strategies
Terrance Savitsky, Marina Vannucci, Naijun Sha
This paper presents a unified treatment of Gaussian process models that extends to data from the exponential dispersion family and to survival data. Our specific interest is in the…
A Bayesian graphical modeling approach to microRNA regulatory network inference
Francesco C. Stingo, Yian A. Chen, Marina Vannucci +2
It has been estimated that about 30% of the genes in the human genome are regulated by microRNAs (miRNAs). These are short RNA sequences that can down-regulate the levels of mRNAs…
A Dirichlet process mixture of hidden Markov models for protein structure prediction
Kristin P. Lennox, David B. Dahl, Marina Vannucci +2
By providing new insights into the distribution of a protein's torsion angles, recent statistical models for this data have pointed the way to more efficient methods for protein st…