25 citations · 28 across the 8 of their papers we have counts for
8 papers
Independence-Encouraging Subsampling for Nonparametric Additive Models
Yi Zhang, Lin Wang, Xiaoke Zhang +1
The additive model is a popular nonparametric regression method due to its ability to retain modeling flexibility while avoiding the curse of dimensionality. The backfitting algori…
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models
Rui Miao, Zhengling Qi, Xiaoke Zhang
We study the problem of off-policy evaluation (OPE) for episodic Partially Observable Markov Decision Processes (POMDPs) with continuous states. Motivated by the recently proposed…
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding
Zhengling Qi, Rui Miao, Xiaoke Zhang
Data-driven individualized decision making has recently received increasing research interests. Most existing methods rely on the assumption of no unmeasured confounding, which unf…
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…
Functional Data Analysis with Causation in Observational Studies: Covariate Balancing Functional Propensity Score for Functional Treatments
Xiaoke Zhang, Wu Xue, Qiyue Wang
Functional data analysis, which handles data arising from curves, surfaces, volumes, manifolds and beyond in a variety of scientific fields, is a rapidly developing area in modern…
Average Treatment Effect Estimation in Observational Studies with Functional Covariates
Rui Miao, Wu Xue, Xiaoke Zhang
Functional data analysis is an important area in modern statistics and has been successfully applied in many fields. Although many scientific studies aim to find causations, a pred…
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…