Real-Time Regression Analysis of Streaming Clustered Data With Possible Abnormal Data Batches [0.03%]
具有可能异常数据批处理的流簇数据的实时回归分析方法研究
Lan Luo,Ling Zhou,Peter X-K Song
Lan Luo
This paper develops an incremental learning algorithm based on quadratic inference function (QIF) to analyze streaming datasets with correlated outcomes such as longitudinal data and clustered data. We propose a renewable QIF (RenewQIF) met...
Orthogonalized Kernel Debiased Machine Learning for Multimodal Data Analysis [0.03%]
正交核修正机器学习的多模态数据分析方法
Xiaowu Dai,Lexin Li
Xiaowu Dai
Multimodal imaging has transformed neuroscience research. While it presents unprecedented opportunities, it also imposes serious challenges. Particularly, it is difficult to combine the merits of the interpretability attributed to a simple ...
Tracking Epidemics With Google Flu Trends Data and a State-Space SEIR Model [0.03%]
基于Google流感搜索数据的传染病传播动态估计与预测：状态空间SEIR模型及其在H7N9avianinfluenza中的应用
Vanja Dukic,Hedibert F Lopes,Nicholas G Polson
Vanja Dukic
In this article, we use Google Flu Trends data together with a sequential surveillance model based on state-space methodology to track the evolution of an epidemic process over time. We embed a classical mathematical epidemiology model [a s...
Xiwei Tang,Lexin Li
Xiwei Tang
Point process modeling is gaining increasing attention, as point process type data are emerging in a large variety of scientific applications. In this article, motivated by a neuronal spike trains study, we propose a novel point process reg...
Feature Screening for Interval-Valued Response with Application to Study Association between Posted Salary and Required Skills [0.03%]
基于区间值响应的特征筛选及其在薪资与技能关系研究中的应用
Wei Zhong,Chen Qian,Wanjun Liu et al.
Wei Zhong et al.
It is important to quantify the differences in returns to skills using the online job advertisements data, which have attracted great interest in both labor economics and statistics fields. In this paper, we study the relationship between t...
iProMix: A mixture model for studying the function of ACE2 based on bulk proteogenomic data [0.03%]
基于批量蛋白组学数据研究ACE2功能的混合模型(iProMix)
Xiaoyu Song,Jiayi Ji,Pei Wang
Xiaoyu Song
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused over six million deaths in the ongoing COVID-19 pandemic. SARS-CoV-2 uses ACE2 protein to enter human cells, raising a pressing need to characterize proteins/pathways i...
Statistical Inference for High-Dimensional Generalized Linear Models with Binary Outcomes [0.03%]
高维广义线性模型二值响应变量的统计推断方法研究
T Tony Cai,Zijian Guo,Rong Ma
T Tony Cai
This paper develops a unified statistical inference framework for high-dimensional binary generalized linear models (GLMs) with general link functions. Both unknown and known design distribution settings are considered. A two-step weighted ...
Jianqing Fan,Yongyi Guo,Kaizheng Wang
Jianqing Fan
When the data are stored in a distributed manner, direct applications of traditional statistical inference procedures are often prohibitive due to communication costs and privacy concerns. This paper develops and investigates two Communicat...
B Zhang,D S Small,K B Lasater et al.
B Zhang et al.
Multivariate matching has two goals: (i) to construct treated and control groups that have similar distributions of observed covariates, and (ii) to produce matched pairs or sets that are homogeneous in a few key covariates. When there are ...
Wenxuan Zhong,Yiwen Liu,Peng Zeng
Wenxuan Zhong
With rapid advances in information technology, massive datasets are collected in all fields of science, such as biology, chemistry, and social science. Useful or meaningful information is extracted from these data often through statistical ...