30 citations · 119 across the 39 of their papers we have counts for
4 papers · 1 filter
Bayesian shrinkage
Anirban Bhattacharya, Debdeep Pati, Natesh S. Pillai +1
Penalized regression methods, such as regularization, are routinely used in high-dimensional applications, and there is a rich literature on optimality properties under spars…
Stochastic Volatility Regression for Functional Data Dynamics
Bin Zhu, David B. Dunson
Although there are many methods for functional data analysis (FDA), little emphasis is put on characterizing variability among volatilities of individual functions. In particular,…
Multiresolution Gaussian Processes
Emily B. Fox, David B. Dunson
We propose a multiresolution Gaussian process to capture long-range, non-Markovian dependencies while allowing for abrupt changes. The multiresolution GP hierarchically couples a c…
Bayesian inference on dependence in multivariate longitudinal data
Hongxia Yang, Fan Li, Enrique F. Schisterman +2
In many applications, it is of interest to assess the dependence structure in multivariate longitudinal data. Discovering such dependence is challenging due to the dimensionality i…