1 citations · 1 across the 3 of their papers we have counts for
6 papers · 1 filter
Structured Covariate-Informed Empirical Orthogonal Functions for Spatio-Temporal Environmental Fields
Hao-Yun Huang, ShengLi Tzeng
Low-rank representations such as empirical orthogonal function (EOF) decompositions are widely used for analyzing large spatio-temporal environmental fields. However, conventional…
Spatially Adaptive Calibrations of AirBox PM Data
ShengLi Tzeng, Chi-Wei Lai, Hsin-Cheng Huang
Two networks are available to monitor PM in Taiwan, including the Taiwan Air Quality Monitoring Network (TAQMN) and the AirBox network. The TAQMN, managed by Taiwan's Envir…
Interpretable, predictive spatio-temporal models via enhanced Pairwise Directions Estimation
Heng-Hui Lue, ShengLi Tzeng
This article concerns the predictive modeling for spatio-temporal data as well as model interpretation using data information in space and time. We develop a novel approach based o…
Spatial Process Decomposition for Quantitative Imaging Biomarkers Using Multiple Images of Varying Shapes
ShengLi Tzeng, Jun Zhu, Amy Weisman +2
Quantitative imaging biomarkers (QIB) are extracted from medical images in radiomics for a variety of purposes including noninvasive disease detection, cancer monitoring, and preci…
Empirical Likelihood Based Summary ROC Curve for Meta-Analysis of Diagnostic Studies
ShengLi Tzeng, Chun-Shu Chen, Yu-Fen Li +1
Objectives: This study provides an effective model selection method based on the empirical likelihood approach for constructing summary receiver operating characteristic (sROC) cur…
Multi-Resolution Spatial Random-Effects Models for Irregularly Spaced Data
ShengLi Tzeng, Hsin-Cheng Huang
The spatial random-effects model is flexible in modeling spatial covariance functions, and is computationally efficient for spatial prediction via fixed rank kriging. However, the…