Hongmei Zhang,Xianzheng Huang,Shengtong Han et al.
Hongmei Zhang et al.
A Bayesian approach is proposed that unifies Gaussian Bayesian network constructions and comparisons between two networks (identical or differential) for data with graph ordering unknown. When sampling graph ordering, to escape from local m...
Dewei Wang,Chuan-Fa Tang,Joshua M Tebbs
Dewei Wang
The ordinal dominance curve (ODC) is a useful graphical tool to compare two population distributions. These distributions are said to satisfy uniform stochastic ordering (USO) if the ODC for them is star-shaped. A goodness-of-fit test for U...
Mengque Liu,Qingzhao Zhang,Kuangnan Fang et al.
Mengque Liu et al.
The finite mixture of regression (FMR) model is a popular tool for accommodating data heterogeneity. In the analysis of FMR models with high-dimensional covariates, it is necessary to conduct regularized estimation and identify important co...
Yi Zhao,Martin A Lindquist,Brian S Caffo
Yi Zhao
Causal mediation analysis aims to quantify the intermediate effect of a mediator on the causal pathway from treatment to outcome. When dealing with multiple mediators, which are potentially causally dependent, the possible decomposition of ...
Sergii Babkin,Jonathan R Stewart,Xiaochen Long et al.
Sergii Babkin et al.
A class of random graph models is considered, combining features of exponential-family models and latent structure models, with the goal of retaining the strengths of both of them while reducing the weaknesses of each of them. An open probl...
Bayesian Method for Causal Discovery of Latent-Variable Models from a Mixture of Experimental and Observational Data [0.03%]
混合实验数据和观察数据的潜在变量模型因果发现的贝叶斯方法
Changwon Yoo
Changwon Yoo
This paper describes a Bayesian method for learning causal Bayesian networks through networks that contain latent variables from an arbitrary mixture of observational and experimental data. The paper presents Bayesian methods (including a n...
Detecting and Testing Altered Brain Connectivity Networks with K-partite Network Topology [0.03%]
基于K部网络拓扑检测及验证改变的大脑连接网络
Shuo Chen,F DuBois Bowman,Yishi Xing
Shuo Chen
Emerging brain connectivity network studies suggest that interactions between various distributed neuronal populations may be characterized by an organized complex topological structure. Many neuropsychiatric disorders are associated with a...
Generalized Co-Clustering Analysis via Regularized Alternating Least Squares [0.03%]
基于正则化交替最小二乘的广义协同聚类分析
Gen Li
Gen Li
Biclustering is an important exploratory analysis tool that simultaneously clusters rows (e.g., samples) and columns (e.g., variables) of a data matrix. Checkerboard-like biclusters reveal intrinsic associations between rows and columns. Ho...
Modeling respiratory illnesses with change point: A lesson from the SARS epidemic in Hong Kong [0.03%]
带有转折点的呼吸系统传染病模型——从香港SARS疫情中得到的启示
Heung Wong,Quanxi Shao,Wai-Cheung Ip
Heung Wong
It is generally agreed that respiratory disease is closely related to ambient air quality and weather conditions. Besides, hygiene related factors such as the public health measures by the government and possible personal awareness in the c...
Ganggang Xu,Huirong Zhu,J Jack Lee
Ganggang Xu
A novel borrowing strength measure and an overall borrowing index to characterize the strength of borrowing behaviors among subgroups are proposed for a given Bayesian hierarchical model. The constructions of the proposed indexes are based ...