77 citations · 91 across the 9 of their papers we have counts for
10 papers
Stationarity and inference in multistate promoter models of stochastic gene expression via stick-breaking measures
William Lippitt, Sunder Sethuraman, Xueying Tang
In a general stochastic multistate promoter model of dynamic mRNA/protein interactions, we identify the stationary joint distribution of the promoter state, mRNA, and protein level…
External Correlates of Adult Digital Problem-Solving Behavior: Log Data Analysis of a Large-Scale Assessment
Susu Zhang, Xueying Tang, Qiwei He +2
Using the action sequence data (i.e., log data) from the problem-solving in technology-rich environments assessment on the 2012 Programme for the International Assessment of Adult…
Subtask Analysis of Process Data Through a Predictive Model
Zhi Wang, Xueying Tang, Jingchen Liu +1
Response process data collected from human-computer interactive items contain rich information about respondents' behavioral patterns and cognitive processes. Their irregular forma…
Statistical Analysis of Multi-Relational Network Recovery
Zhi Wang, Xueying Tang, Jingchen Liu
In this paper, we develop asymptotic theories for a class of latent variable models for large-scale multi-relational networks. In particular, we establish consistency results and a…
ProcData: An R Package for Process Data Analysis
Xueying Tang, Susu Zhang, Zhi Wang +2
Process data refer to data recorded in the log files of computer-based items. These data, represented as timestamped action sequences, keep track of respondents' response processes…
An Exploratory Analysis of the Latent Structure of Process Data via Action Sequence Autoencoder
Xueying Tang, Zhi Wang, Jingchen Liu +1
Computer simulations have become a popular tool of assessing complex skills such as problem-solving skills. Log files of computer-based items record the entire human-computer inter…
Latent Feature Extraction for Process Data via Multidimensional Scaling
Xueying Tang, Zhi Wang, Qiwei He +2
Computer-based interactive items have become prevalent in recent educational assessments. In such items, the entire human-computer interactive process is recorded in a log file and…
Bayesian Variable Selection and Estimation Based on Global-Local Shrinkage Priors
Xueying Tang, Xiaofan Xu, Malay Ghosh +1
In this paper, we consider Bayesian variable selection problem of linear regression model with global-local shrinkage priors on the regression coefficients. We propose a variable s…
Bayesian Multiple Testing Under Sparsity for Polynomial-Tailed Distributions
Xueying Tang, Ke Li, Malay Ghosh
This paper considers Bayesian multiple testing under sparsity for polynomial-tailed distributions satisfying a monotone likelihood ratio property. Included in this class of distrib…
Asymptotic Properties of Bayes Risk of a General Class of Shrinkage Priors in Multiple Hypothesis Testing Under Sparsity
Prasenjit Ghosh, Xueying Tang, Malay Ghosh +1
Consider the problem of simultaneous testing for the means of independent normal observations. In this paper, we study some asymptotic optimality properties of certain multiple tes…