5 citations · 8 across the 8 of their papers we have counts for
10 papers
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…
cGAP: Generalized Association Plots with HOMALS-Guided Heatmaps for Visualization of High-Dimensional Categorical Data
Chun-houh Chen, Shun-Chuan Chang, Chiun-How Kao +5
High-dimensional categorical data arise in genetics, biomedicine, and the social sciences, yet visualization tools for such data remain far less developed than those for continuous…
Assessing Spatial Stationarity and Segmenting Spatial Processes into Stationary Components
ShengLi Tzeng, Bo-Yu Chen, Hsin-Cheng Huang
In this research, we propose a novel technique for visualizing nonstationarity in geostatistics, particularly when confronted with a single realization of data at irregularly space…
The R Package HCV for Hierarchical Clustering from Vertex-links
ShengLi Tzeng, Hao-Yun Hsu
The HCV package implements the hierarchical clustering for spatial data. It requires clustering results not only homogeneous in non-geographical features among samples but also geo…
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…
Distance for Functional Data Clustering Based on Smoothing Parameter Commutation
ShengLi Tzeng, Christian Hennig, Yu-Fen Li +1
We propose a novel method to determine the dissimilarity between subjects for functional data clustering. Spline smoothing or interpolation is common to deal with data of such type…
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…