Publications
Wang H, Guan, T., and Shang H. (2025), Interpretable additive model for analyzing high-dimensional functional time series, Journal of Multivariate Analysis. Accepted.
Chakraborty, A. K., Miry, R., Greiner, R., Lewis, M. A., Wang, H., Guan, T., and Ramazi P. (2025), Deep Learning for Disease Outbreak Prediction: A parallel LSTM-CNN model, Journal of the Royal Society Interface}. In Press.
Yan, Y., Vuong, Q., Metcalfe, R. K., Guan, T., Shi, H., and Park J.J. (2025), Target Aggregate Data Adjustment Method for Transportability Analysis Utilizing Summary-Level Data from the Target Population, Pharmaceutical Statistics. In Press.
Yan, Y., Lin, R., Guan, T., Shi, H., and Lin, X. (2025), A Generalized Phase I/II Dose Optimization Trial Design With Multi‐Categorical and Multi‐Graded Outcomes, Statistics in Medicine, 44 (7) e70049.
Cameron, R., Guan, T., Shi, H., and Lin, Z. (2025), Penalized Functional Regression Using R Package PFLR, Journal of Applied Statistics, 1 - 15.
Jia, S., Shi, H., and Guan, T. (2025), Function-on-Function Regression Models with Nonlinear Dynamic Effect and Linear Concurrent Effect, Statistics and Computing, 35 (2), Article 42.
Guan, T., Ho, J., Krider, R., Cao, J., and Fogg, A. (2024). How Are Pre-Launch Online Movie Reviews Related to Box Office Revenues? Annals of Applied Statistics 18(2), 1686 - 1708.
Guan, T., Sarkar S., and Swartz, T. (2024). Comparison of Individual Playing Styles in Football. Journal of Quantitative Analysis in Sports. https://doi.org/10.1515/jqas-2024-0041.
Guan, T. and Swartz, T. (2024). Acceleration and Age in Soccer. International Journal of Sports Science \& Coaching 19(3).
Guan, T., Cao, J., and Swartz, T. (2023) Parking the Bus. Journal of Quantitative Analysis in Sports 19(4), 263 - 272.
Guan, T., Nguyen, R., Cao, J., and Swartz, T. (2022). In-Game Win Probabilities for the National Rugby League. Annals of Applied Statistics 16 (1), 349 - 367.
Guan, T., Lin, Z., Groves, K., and Cao, J. (2022). Sparse Functional Partial Least Squares Regression with Locally Sparse Slope Function. Statistics and Computing 32 (2), 30, 1-11.
Xun, X., Guan, T., and Cao, J. (2022). Sparse Estimation of Historical Functional Linear Models with a Nested Group Bridge Approach. The Canadian Journal of Statistics 50 (4), 1254 - 1269.
Guan, T., Lin, Z., and Cao, J. (2020). Estimating Truncated Functional Linear Models with a Nested Group Bridge Approach. Journal of Computational and Graphical Statistics 29 (3), 620 - 628. An R package ngr has been developed for implementing the proposed method. ter