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02/16/2023
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior
Tensor regression methods have been widely used to predict a scalar resp...
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11/09/2022
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty
This work studies the multi-task functional linear regression models whe...
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11/09/2022
Spline Estimation of Functional Principal Components via Manifold Conjugate Gradient Algorithm
Functional principal component analysis has become the most important di...
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09/08/2021
Functional Principal Subspace Sampling for Large Scale Functional Data Analysis
Functional data analysis (FDA) methods have computational and theoretica...
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07/17/2021
A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models
This paper develops a frequentist solution to the functional calibration...
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01/08/2021
Simultaneous inference of periods and period-luminosity relations for Mira variable stars
The Period–Luminosity relation (PLR) of Mira variable stars is an import...
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01/30/2020