
Xueying Tang
- Assistant Professor, Mathematics
- Member of the Graduate Faculty
Contact
- (520) 621-6892
- Mathematics, Rm. 108
- Tucson, AZ 85721
- xytang@arizona.edu
Awards
- Outstanding Reviewer
- American Educational Research Association and Journal of Educational and Behavioral Statistics, Spring 2021
Interests
No activities entered.
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)
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.