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Department of Economics

Dr. Tao Wang

Photo of Dr. Tao Wang

Assistant Professor

Economics

Status:
On leave: July 01, 2025 - Dec 31, 2025
Contact:
Office: BEC 392 250-721-6482
Credentials:
PhD (UC Riverside)
Area of expertise:
Econometrics, Nonparametric Statistics, Machine Learning
Related links:

Bio

Tao Wang is an Econometrician who studies issues in Nonparametric Estimation and Machine Learning. His current research concentrates on building and developing a broad variety of modal and mode-based regression models and investigating their statistical inference with possible applications.

He also works on applying Econometrics and Machine Learning in an integral manner to improve the performance of Econometrics Models. He received his PhD from the University of California, Riverside in June 2022.

Interests

  • Econometrics
  • Nonparametric Statistics
  • Machine Learning

Courses

Selected Publications

  • Lee, T.-H. and Wang, T. (2025+). Estimation and Testing of Forecast Rationality with Many Moments. Macroeconomic Dynamics, forthcoming.
  • Wang, T. and Yao, W. (2025+). Online Kernel-Based Mode Learning. Journal of Computational and Graphical Statistics, forthcoming.
  • Wang, T. (2025+). Mode-Adaptive Factor Models. Scandinavian Journal of Statistics, forthcoming.
  • Wang, T. (2025+). Robust Semi-Functional Censored Regression. Journal of Multivariate Analysis, forthcoming.
  • Wang, T. and Yao, W. (2025+). Nonparametric Spatial Modeling towards the Mode. Statistica Sinica, forthcoming.
  • Wang, T. and Yao, W. (2024+). Kernel Mode-Based Regression under Random Truncation. Statistica Sinica, forthcoming.
  • Ullah, A. and Wang, T. (2026). Semiparametric Modal Regression with Varying Coefficients and Measurement Error. Journal of Statistical Planning and Inference, 240, 106307.
  • Wang, T. (2025). Optimal Subsampling for Functional Quasi-Mode Regression with Big Data. Journal of Computational and Graphical Statistics, 34 (2), 552-566.
  • Wang, T. (2025). Semi-Functional Varying Coefficient Mode-Based Regression. Journal of Multivariate Analysis, 207, 105402.
  • Wang, T. (2025). Parametric Modal Regression with Autocorrelated Error Process. Statistica Sinica, 35, 457-478.
  • Ullah, A. and Wang, T. (2025). Modal Volatility Function. Journal of Time Series Analysis, 46 (4), 748-773.
  • Wang, T. (2024). Nonlinear Kernel Mode-Based Regression for Dependent Data. Journal of Time Series Analysis, 45 (2), 189-213.
  • Ullah, A., Wang, T., and Yao, W. (2023). Semiparametric Partially Linear Varying Coefficient Modal Regression. Journal of Econometrics, 235 (2), 1001-1026.
  • Ullah, A., Wang, T., and Yao, W. (2022). Nonlinear Modal Regression for Dependent Data with Application for Predicting COVID-19. Journal of the Royal Statistical Society Series A, 185 (3), 1424-1453.