30 citations · 110 across the 21 of their papers we have counts for
10 papers · 1 filter
Flexible Functional Treatment Effect Estimation
Jiayi Wang, Raymond K. W. Wong, Xiaoke Zhang +1
We study treatment effect estimation with functional treatments where the average potential outcome functional is a function of functions, in contrast to continuous treatment effec…
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior
Shuoli Chen, Kejun He, Shiyuan He +2
Tensor regression methods have been widely used to predict a scalar response from covariates in the form of a multiway array. In many applications, the regions of tensor covariates…
Estimation of Partially Conditional Average Treatment Effect by Hybrid Kernel-covariate Balancing
Jiayi Wang, Raymond K. W. Wong, Shu Yang +1
We study nonparametric estimation for the partially conditional average treatment effect, defined as the treatment effect function over an interested subset of confounders. We prop…
A Wavelet-Based Independence Test for Functional Data with an Application to MEG Functional Connectivity
Rui Miao, Xiaoke Zhang, Raymond K. W. Wong
Measuring and testing the dependency between multiple random functions is often an important task in functional data analysis. In the literature, a model-based method relies on a m…
Low-Rank Covariance Function Estimation for Multidimensional Functional Data
Jiayi Wang, Raymond K. W. Wong, Xiaoke Zhang
Multidimensional function data arise from many fields nowadays. The covariance function plays an important role in the analysis of such increasingly common data. In this paper, we…
Broadcasted Nonparametric Tensor Regression
Ya Zhou, Raymond K. W. Wong, Kejun He
We propose a novel use of a broadcasting operation, which distributes univariate functions to all entries of the tensor covariate, to model the nonlinearity in tensor regression no…
Network estimation via graphon with node features
Yi Su, Raymond K. W. Wong, Thomas C. M. Lee
Estimating the probabilities of linkages in a network has gained increasing interest in recent years. One popular model for network analysis is the exchangeable graph model (ExGM)…
Nonparametric Operator-Regularized Covariance Function Estimation for Functional Data
Raymond K. W. Wong, Xiaoke Zhang
In functional data analysis (FDA), covariance function is fundamental not only as a critical quantity for understanding elementary aspects of functional data but also as an indispe…
A Frequentist Approach to Computer Model Calibration
Raymond K. W. Wong, Curtis B. Storlie, Thomas C. M. Lee
This paper considers the computer model calibration problem and provides a general frequentist solution. Under the proposed framework, the data model is semi-parametric with a nonp…
Fiber Direction Estimation, Smoothing and Tracking in Diffusion MRI
Raymond K. W. Wong, Thomas C. M. Lee, Debashis Paul +2
Diffusion magnetic resonance imaging is an imaging technology designed to probe anatomical architectures of biological samples in an in vivo and non-invasive manner through measuri…