48 citations · 77 across the 4 of their papers we have counts for
6 papers
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 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…
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…