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Xueying Tang

  • Assistant Professor, Mathematics
  • Member of the Graduate Faculty
Contact
  • (520) 621-6892
  • Mathematics, Rm. 108
  • Tucson, AZ 85721
  • xytang@arizona.edu
  • Bio
  • Interests
  • Courses
  • Scholarly Contributions

Awards

  • Outstanding Reviewer
    • American Educational Research Association and Journal of Educational and Behavioral Statistics, Spring 2021

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Interests

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Courses

2022-23 Courses

  • Dissertation
    STAT 920 (Spring 2023)
  • Honors Thesis
    DATA 498H (Spring 2023)
  • Theory of Statistics
    MATH 466 (Spring 2023)
  • Theory of Statistics
    MATH 566 (Spring 2023)
  • Theory of Statistics
    STAT 566 (Spring 2023)
  • Dissertation
    STAT 920 (Fall 2022)
  • Honors Thesis
    DATA 498H (Fall 2022)
  • Theory of Statistics
    MATH 466 (Fall 2022)

2021-22 Courses

  • Independent Study
    STAT 599 (Spring 2022)
  • Research
    STAT 900 (Spring 2022)
  • Theory of Statistics
    MATH 466 (Spring 2022)
  • Theory of Statistics
    MATH 566 (Spring 2022)
  • Theory of Statistics
    STAT 566 (Spring 2022)
  • Theory of Statistics
    MATH 466 (Fall 2021)

2020-21 Courses

  • Theory of Statistics
    MATH 566 (Spring 2021)
  • Theory of Statistics
    STAT 566 (Spring 2021)
  • Adv Stat Regress Analys
    MATH 571A (Fall 2020)
  • Adv Stat Regress Analys
    STAT 571A (Fall 2020)
  • Thesis
    STAT 910 (Fall 2020)

2019-20 Courses

  • Theory of Statistics
    MATH 466 (Spring 2020)
  • Theory of Statistics
    MATH 466 (Fall 2019)

Related Links

UA Course Catalog

Scholarly Contributions

Journals/Publications

  • Tang, X., Wang, Z., & Liu, J. (2020). Statistical Analysis of Multi-Relational Network Recovery. Frontiers in Applied Mathematics and Statistics.
  • Tang, X., Wang, Z., He, Q., Liu, J., & Ying, Z. (2020). Latent feature extraction for process data via multidimensional scaling. Psychometrika.
  • Tang, X., Wang, Z., Liu, J., & Ying, Z. (2020). An Exploratory Analysis of the Latent Structure of Process Data via Action Sequence Autoencoders. British Journal of Mathematical and Statistical Psychology.

Presentations

  • Tang, X. (2021). Using log Cauchy priors for modeling sparsity. 14th International Conference of the ERCIM WG on Computational and Methodological Statistics. Virtual.
  • Tang, X. (2021, April). Subtask Analysis of Process Data Through a Predictive Model. The Ohio State University Biostatistics Seminar. Virtual.
  • Tang, X. (2021, June). Subtask Analysis of Process Data Through a Predictive Model. University of California Davis Statistics Seminar. Virtual.
  • Tang, X. (2021, October). Subtask Analysis of Process Data Through a Predictive Model. 34th New England Statistics Symposium. Virtual.
  • Tang, X. (2020, August). Bayesian Semiparametric Regression Model Selection with Correlated Errors. Joint Statistical Meetings.
  • Tang, X. (2020, December). Subtask Analysis of Process Data Through a Predictive Model. International Chinese Statistical Association Applied Statistics Symposium.
  • Tang, X. (2020, July). A Hidden Markov Model for Identifying Problem Solving Strategies in Process Data. International Meeting of the Psychometric Society.
  • Tang, X. (2020, July). Introduction to R package ProcData. Workshop on Statistical Learning for Process Data.

Profiles With Related Publications

  • Sunder Sethuraman

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