(Note: * denotes students/postdocs advised/co-advised, # denotes visiting students advised/co-advised)
- Huang, H., Sun, Y. and Genton, M. G. (2022), "Structures for multivariate spatio-temporal random fields," Journal of Computational and Graphical Statistics, in revision.
- Qadir, G.* and Sun, Y. (2022), "Modeling and predicting spatio-temporal dynamics of PM2.5 concentrations through time-evolving covariance models," Statistica Sinica, in revision.
- Hong, Y.*, Yang, Y. and Sun, Y. (2022), "A nonstationary autologistic model for space-time data," under review.
- Wu, Z.*, Euan, C.*, Crujeiras, R. M., and Sun, Y. (2022), "Estimation and clustering of directional wave spectra," Journal of Agricultural, Biological and Environmental Statistics, in revision.
- Nag, P.*, Sun, Y. and Reich, B. (2022), "Bivariate DeepKriging for large-scale spatial interpolation of wind fields," under review.
- Nag, P.*, Sun, Y. and Reich. B. (2022), "Spatio-temporal DeepKriging for interpolation and probabilistic forecasting," under review.
- Jiménez, C., Harrou, F. and Sun, Y. (2022), "Pointwise data depth for univariate and multivariate functional outlier detection," under review.