Xueying Tang

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Courses

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.