17 citations · 38 across the 9 of their papers we have counts for
Showing stat.MEShow all
3 papers · 1 filter
stat.ME2021
Bayesian Regularization for Functional Graphical Models with Applications to Neuroimaging
Jiajing Niu, Boyoung Hur, John Absher +1
Graphical models, used to express conditional dependence between random variables observed at various nodes, are used extensively in many fields such as genetics, neuroscience, and…
stat.ME2016★ 17 cited
Nonparametric Functional Calibration of Computer Models
D. Andrew Brown, Sez Atamturktur
Standard methods in computer model calibration treat the calibration parameters as constant throughout the domain of control inputs. In many applications, systematic variation may…
stat.ME2015★ 1 cited
A Bayesian Generalized CAR Model for Correlated Signal Detection
D. Andrew Brown, Gauri S. Datta, Nicole A. Lazar
Over the last decade, large-scale multiple testing has found itself at the forefront of modern data analysis. In many applications data are correlated, so that the observed test st…