6 citations · 14 across the 6 of their papers we have counts for
8 papers
Bootstrap inference in functional linear regression models with scalar response under heteroscedasticity
Hyemin Yeon, Xiongtao Dai, Daniel John Nordman
Inference for functional linear models in the presence of heteroscedastic errors has received insufficient attention given its practical importance; in fact, even a central limit t…
Tukey's Depth for Object Data
Xiongtao Dai, Sara Lopez-Pintado
We develop a novel exploratory tool for non-Euclidean object data based on data depth, extending the celebrated Tukey's depth for Euclidean data. The proposed metric halfspace dept…
A Geospatial Functional Model For OCO-2 Data with Application on Imputation and Land Fraction Estimation
Xinyue Chang, Zhengyuan Zhu, Xiongtao Dai +1
Data from NASA's Orbiting Carbon Observatory-2 (OCO-2) satellite is essential to many carbon management strategies. A retrieval algorithm is used to estimate CO2 concentration usin…
Statistical Inference on the Hilbert Sphere with Application to Random Densities
Xiongtao Dai
The infinite-dimensional Hilbert sphere has been widely employed to model density functions and shapes, extending the finite-dimensional counterpart. We consider the Fré…
Nonparametric Estimation of Repeated Densities with Heterogeneous Sample Sizes
Jiaming Qiu, Xiongtao Dai, Zhengyuan Zhu
We consider the estimation of densities in multiple subpopulations, where the available sample size in each subpopulation greatly varies. This problem occurs in epidemiology, for e…
Modeling Longitudinal Data on Riemannian Manifolds
Xiongtao Dai, Zhenhua Lin, Hans-Georg Müller
When considering functional principal component analysis for sparsely observed longitudinal data that take values on a nonlinear manifold, a major challenge is how to handle the sp…