teresa

Pubilications

  1. Wang, T. (2024+). Distributed Learning for Kernel Mode-Based Regression. The Canadian Journal of Statistics, accepted.
  2. Wang, T. (2023+). Parametric Modal Regression with Autocorrelated Error Process. Statistica Sinica, available online. [link]
  3. Wang, T. (2024). Nonlinear Kernel Mode-Based Regression for Dependent Data. Journal of Time Series Analysis, 45 (2), 189-213. [link]
  4. Wang, T. (2024). Nonparametric Estimator for Conditional Mode with Parametric Features. Oxford Bulletin of Economics and Statistics, 86 (1), 44-73. [link]
  5. Ullah, A., Wang, T., and Yao, W. (2023). Semiparametric Partially Linear Varying Coefficient Modal Regression. Journal of Econometrics, 235 (2), 1001-1026. [link]
  6. 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. [link]
  7. Ullah, A., Wang, T., and Yao, W. (2021). Modal Regression for Fixed Effects Panel Data. Empirical Economics (Special Issue on Honouring Badi Baltagi), 60 (1), 261-308. [link]
  8. Achenie, L. E. K., Scarpa, A., Factor, R. S., Wang, T., Robins, D. L., and McCrickard, S. (2019). A Machine Learning Strategy for Autism Screening in Toddlers. Journal of Developmental & Behavioral Pediatrics, 40 (5), 369-376. [link]

Others

  1. Wang, T. (2023). Discussion of "Vintage Factor Analysis with Varimax Performs Statistical Inference". Journal of the Royal Statistical Society Series B, 85 (4), 1092-1093. [link]
  2. Wang, T. (2022). Discussion of "Modeling the COVID-19 Infection Trajectory: A Piecewise Linear Quantile Trend Model". Journal of the Royal Statistical Society Series A, 185 (4), 1819-1821. [link]

Working Papers

  1. Envelope Kernel Mode-Based Regression, Reject and Resubmit (June, 2023)
  2. Kernel Mode-Based Regression under Random Truncation (with Weixin Yao), R&R (October, 2023)
  3. Optimal Subsampling for Functional Quasi-Mode Regression with Big Data, R&R (March, 2024)
  4. Estimation and Testing of Forecast Rationality with Many Moments (with Tae-Hwy Lee)
  5. Modal Regression Discontinuity Designs (with Aman Ullah)
  6. Nonparametric Spatial Learning towards the Mode (with Weixin Yao)