48 citations · 183 across the 14 of their papers we have counts for
14 papers
Penalized spline estimation of principal components for sparse functional data: rates of convergence
Shiyuan He, Jianhua Z. Huang, Kejun He
This paper gives a comprehensive treatment of the convergence rates of penalized spline estimators for simultaneously estimating several leading principal component functions, when…
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…
Spline Estimation of Functional Principal Components via Manifold Conjugate Gradient Algorithm
Shiyuan He, Hanxuan Ye, Kejun He
Functional principal component analysis has become the most important dimension reduction technique in functional data analysis. Based on B-spline approximation, functional princip…
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty
Shiyuan He, Hanxuan Ye, Kejun He
This work studies the multi-task functional linear regression models where both the covariates and the unknown regression coefficients (called slope functions) are curves. For slop…
Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era
Eve Kovacs, Yao-Yuan Mao, Michel Aguena +36
Large simulation efforts are required to provide synthetic galaxy catalogs for ongoing and upcoming cosmology surveys. These extragalactic catalogs are being used for many diverse…
Functional Principal Subspace Sampling for Large Scale Functional Data Analysis
Shiyuan He, Xiaomeng Yan
Functional data analysis (FDA) methods have computational and theoretical appeals for some high dimensional data, but lack the scalability to modern large sample datasets. To tackl…
A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models
Rui Tuo, Shiyuan He, Arash Pourhabib +2
This paper develops a frequentist solution to the functional calibration problem, where the value of a calibration parameter in a computer model is allowed to vary with the value o…
Simultaneous inference of periods and period-luminosity relations for Mira variable stars
Shiyuan He, Zhenfeng Lin, Wenlong Yuan +2
The Period--Luminosity relation (PLR) of Mira variable stars is an important tool to determine astronomical distances. The common approach of estimating the PLR is a two-step proce…
Functional PCA with Covariate Dependent Mean and Covariance Structure
Fei Ding, Shiyuan He, David E. Jones +1
Incorporating covariates into functional principal component analysis (PCA) can substantially improve the representation efficiency of the principal components and predictive perfo…
Multiwavelength Period-Luminosity and Period-Luminosity-Color relations at maximum-light for Mira variables in the Magellanic Clouds
Anupam Bhardwaj, Shashi Kanbur, Shiyuan He +8
We present Period-Luminosity and Period-Luminosity-Color relations at maximum-light for Mira variables in the Magellanic Clouds using time-series data from the Optical Gravitationa…
Characterization of Type Ia Supernova Light Curves Using Principal Component Analysis of Sparse Functional Data
Shiyuan He, Lifan Wang, Jianhua Z. Huang
With growing data from ongoing and future supernova surveys it is possible to empirically quantify the shapes of SNIa light curves in more detail, and to quantitatively relate the…
Large Magellanic Cloud Near-Infrared Synoptic Survey. V. Period-Luminosity Relations of Miras
Wenlong Yuan, Lucas M. Macri, Shiyuan He +3
We study the near-infrared properties of 690 Mira candidates in the central region of the Large Magellanic Cloud, based on time-series observations at JHKs. We use densely-sampled…
The M33 Synoptic Stellar Survey. II. Mira Variables
Wenlong Yuan, Shiyuan He, Lucas M. Macri +2
We present the discovery of 1847 Mira candidates in the Local Group galaxy M33 using a novel semi-parametric periodogram technique coupled with a Random Forest classifier. The algo…
Period estimation for sparsely-sampled quasi-periodic light curves applied to Miras
Shiyuan He, Wenlong Yuan, Jianhua Z. Huang +2
We develop a non-linear semi-parametric Gaussian process model to estimate periods of Miras with sparsely-sampled light curves. The model uses a sinusoidal basis for the periodic v…