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Under Review/In Revision (Note: * denotes students/postdocs advised/co-advised, # denotes visiting students advised/co-advised) Wang, W.*, Sun, Y. and Wang, H. (2020), "Latent group detection in functional partially linear regression models," under review. Hong, Y.#, Abdulah, S.*, Genton, M., and Sun, Y. (2020), "Efficiency assessment of approximated spatial predictions for large datasets,” under review. Abdulah, S.*, Li, Y.*, Cao, J., Ltaief, H., Keyes, D., Genton, M., and Sun, Y. (2020), “Exact Gaussian simulations, likelihood inference and origins for large-scale spatial datasets with
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"DeepKriging: Spatially dependent deep neural networks for spatial prediction," New Bridges between Mathematics and Data Science Symposium, Valladolid, Spain, Nov 2021. Virtual. "DeepKriging: Spatially dependent deep neural networks for spatial prediction," JSM, Seattle, USA, Aug 2021. Virtual. "DeepKriging: Spatially dependent deep neural networks for spatial prediction," IMS Meeting in Seoul, South Korea, Jul 2021. Virtual. "Space-time data analysis: visualization, modeling, computations and applications," AMCS/STAT Winter School, KAUST, Saudi Arabia, Feb 2021. Virtual "Spatio-temporal
Krupskii, P., Harrou, F., Hering, A.S. and Sun, Y., 2019. Copula-based monitoring schemes for non-Gaussian multivariate processes. Journal of Quality Technology, pp.1-16. Harrou, F., Taghezouit, B. and Sun, Y., 2019. Robust and flexible strategy for fault detection in grid-connected photovoltaic systems. Energy Conversion and Management, 180, pp.1153-1166. Harrou, F., Dairi, A., Taghezouit, B. and Sun, Y., 2019. An unsupervised monitoring procedure for detecting anomalies in photovoltaic systems using a one-class Support Vector Machine. Solar Energy, 179, pp.48-58. Harrou, F., Taghezouit, B
1. Nag, P.*, Sun, Y. and Reich, B. (2024), "Bivariate DeepKriging for large-scale spatial interpolation of wind fields," Technometrics, in revision. 2. Jiménez-Varon, C., Sun, Y. and Shang, H. (2024), "Forecasting high-dimensional functional time series: Application to sub-national age-specific mortality," Journal of Computational and Graphical Statistics, in revision. 3. Jiménez-Varon, C., Harrou, F. and Sun, Y. (2024), "Pointwise data depth for univariate and multivariate functional outlier detection," Environmetrics, in revision. 4. Euan, C., Sun, Y. and Reich, B. (2024), “Regime-based
2019 2018 2017 Matthew Pratola, Assistant Professor of Statistics, The Ohio State University 2016 Dorit Hammerling, National Center for Atmospheric Research (NCAR) 2015 Mehdi Moodaaliat, Assistant Professor, Marquette University Soutir Bandyopadhyay, Assistant Professor, Lehigh University Xiaohui Chang, Assistant Professor, College of Business at Oregon State University Carolina Euan, PhD Student, CIMAT William Kleiber, Assistant Professor, University of Colorado 2014 Serge Guillas, Professor of Statistics, University College London (UCL) Matthew Pratola, Assistant Professor of Statistics, The
