Publications
Wang, H. and Cao, J., 2023, "Nonlinear Prediction for Functional Time Series", accepted by Environmentrics.
Wang, H. and Cao, J., 2022, "pCODE: Estimating Parameters of ODE Models", accepted by The R Journal.
Wang, H. and Cao, J., 2023, "Functional Nonlinear Learning", accepted by Journal of Computational and Graphical Statistics.
Wang, H. and Cao, J., 2021, "Functional Principal Component Analysis for Multiple Variables on Different Riemannian Manifolds", accepted by Journal of Agricultural, Biological and Environmental Statistics.
Wang, H. and Cao, J., 2020, "Estimating Time-varying Directed Neural Networks", Statistics and Computing, 20, 1209-1220.
Ithurbide, M., Wang, H., Fassier, T., Li, Z., Pires, J., Larsen, T., Cao, J., Rupp, R., and Friggens, N., 2022, " Multivariate analysis of milk metabolite measures shows potential for deriving new resilience phenotypes", under invited revision for Journal of Dairy Science.
Conferences/Talks
Wang, H., "Functional Nonlinear Learning", 2022 International Workshop on Complex Functional Data Analysis, Shanghai, China, 2022.
Wang, H., "Functional Nonlinear Learning", 2022 Annual Meeting of the Statistical Society of Canada, Online, 2022.
Wang, H., "Functional Nonlinear Learning", 2021 Canada Statistical Science Institute showcase, Online, 2021.
Wang, H., "Estimating Time-varying Directed Neural Networks", 2019 International Chinese Statistical Association conference, Tianjin, China, 2019.