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Xueying Tang

Member of the Graduate Faculty | Assistant Professor, Mathematics

Mathematics
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$161.7K / $161.7K Funding
60+ Publications

About

I am an Assistant Professor in the Department of Mathematics at the University of Arizona. My research interest includes high dimensional Bayesian statistics, latent variable models and their application in Education and Psychology.

Research Area

medical imaging, biomechanics, cardiomyopathy, data analysis, computational modeling, cardiology, tetralogy of fallot, cardiac imaging, machine learning, coronary artery disease, hypertrophic, process data, small area estimation, statistical modeling

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    Recent

    Modeling sparsity with super heavy-tailed priors

    2024
    statistical modeling, bayesian inference, machine learning, sparse data, prior distribution

    Response Process Signature

    2024
    signature verification, authentication, digital signatures, document verification, identity validation

    A hierarchical gamma prior for modeling random effects in small area estimation

    2023
    hierarchical modeling, random effects, small area estimation, gamma prior, modeling

    External Correlates of Adult Digital Problem-Solving Process: An Empirical Analysis of PIAAC PSTRE Action Sequences

    2023
    digital literacy, adult education, problem solving, empirical analysis, piaac pstre

    Measurement error models with global-local priors for small area estimation

    2023
    measurement error, small area estimation, global-local priors, statistical modeling, bayesian inference

    A latent hidden Markov model for response process data

    2023
    hidden markov model, response process, latent variable, data modeling, probabilistic modeling

    Global-Local Priors for Spatial Small Area Estimation

    2023
    spatial statistics, estimation methods, data analysis, geospatial analysis, statistical modeling

    Subtask analysis of process data through a predictive model

    2023
    predictive modeling, process data, subtask analysis, data analysis, machine learning

    Multivariate global-local priors for small area estimation

    2022
    small area estimation, multivariate priors, global-local priors, multivariate global-local priors, estimation

    Stationarity and Inference in Multistate Promoter Models of Stochastic Gene Expression via Stick-Breaking Measures

    2022
    gene expression, stochastic modeling, promoter models, stationarity, inference

    • Theory of Statistics

    • Advanced Statistical Regression Analysis

    • Statistical Machine Learning

    Xueying Tang | KMap Profile - Institutional Knowledge Map (KMap)