18 citations · 33 across the 8 of their papers we have counts for
6 papers · 1 filter
Moment-Based Selection of Multiresponse Linear Mixed-Effects Models
Yifan Chen, Yuedong Wang, Guo Yu
We propose MOMENT (\textbf{MO}ment-Based \textbf{M}ixed-\textbf{E}ffects Selectio\textbf{N} and Es\textbf{T}imation), a stage-wise moment-based framework that exploits second-order…
A Multiprocess State Space Model with Feedback and Switching for Patterns of Clinical Measurements Associated with COVID-19
Xiaoran Ma, Wensheng Guo, Peter Kotanko +1
Clinical measurements, such as body temperature, are often collected over time to monitor an individual's underlying health condition. These measurements exhibit complex temporal d…
A Nonparametric Mixed-Effects Mixture Model for Patterns of Clinical Measurements Associated with COVID-19
Xiaoran Ma, Wensheng Guo, Mengyang Gu +3
Some patients with COVID-19 show changes in signs and symptoms such as temperature and oxygen saturation days before being positively tested for SARS-CoV-2, while others remain asy…
Sparse Positive-Definite Estimation for Covariance Matrices with Repeated Measurements
Sunpeng Duan, Guo Yu, Juntao Duan +1
Repeated measurements are common in many fields, where random variables are observed repeatedly across different subjects. Such data have an underlying hierarchical structure, and…
Fixed-effects model: the most convincing model for meta-analysis with few studies
Enxuan Lin, Tiejun Tong, Yong Chen +1
According to Davey et al. (2011) with a total of 22,453 meta-analyses from the January 2008 Issue of the Cochrane Database of Systematic Reviews, the median number of studies inclu…
Combining Smoothing Spline with Conditional Gaussian Graphical Model for Density and Graph Estimation
Runfei Luo, Anna Liu, Yuedong Wang
Multivariate density estimation and graphical models play important roles in statistical learning. The estimated density can be used to construct a graphical model that reveals con…