Publications Publications OverviewUnder 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 ExaGeoStatR,” under review.Li, Y.* and Sun, Y. (2020), “Multi-site high-frequency stochastic precipitation generator using censored skew-symmetric distributions,” under review.Euan, C.*, Sun, Y. and Reich, B. (2020), "Statistical analysis of multi-day solar irradiance using a threshold time series model", under review.Qadir, G.*, Sun, Y. and Kurtek, S. (2020), "Estimation of spatial deformation for non-stationary processes via variogram alignment," under review.Qadir G.*, Euan, C.* and Sun, Y. (2020), "Flexible modeling of variable asymmetries in cross-covariance functions for multivariate random fields," under review.Agarwal, G.*, Tu, W., Sun, Y., and Kong, L. (2020), "Flexible quantile contours for multivariate functional data: beyond convexity," under review.Qadir G.* and Sun, Y. (2020), "Semiparametric estimation of cross-covariance functions for multivariate random fields," Biometrics, in revision.Chen, T.*, Sun, Y. and Maadooliat, M. (2020), "Collective spectral density estimation and clustering for spatially-correlated data,” Spatial Statistics, in revision.Chen, T.*, Sun, Y., Euan, C. and Ombao, H. (2020), "Clustering brain signals: A robust approach using functional data ranking," Journal of Classification, in revision.Agarwal, G.* and Sun, Y. (2020), "Multivariate functional quantile envelopes with application to radiosonde wind data," Technometrics, in revision.Chen, T.*, Sun, Y. and Li, T. (2020), "A semi-parametric estimation method for the quantile spectrum with an application to earthquake classification using convolutional neural network," Computational Statistics and Data Analysis, in revision.Dai, W., Mrkvicka, T., Sun, Y., and Genton, M. (2020) "Functional outlier detection and taxonomy by sequential transformations," Computational Statistics and Data Analysis, in revision.Published(Note: * denotes students/postdocs advised/co-advised, # denotes visiting students advised/co-advised) Litvinenko, A., Kriemann, R., Genton, M. G., Sun, Y., and Keyes, D. (2020), "HLIBCov: Parallel hierarchical matrix approximation of large covariance matrices and likelihoods with applications in parameter identification," MethodsX, 7:100600.Euan, C* and Sun, Y. (2019), "Bernoulli vector autoregressive model," Journal of Multivariate Analysis, to appear.Agarwal, G.*, Saade, S., Shahid, M., Test, M. and Sun, Y. (2019), "Quantile function modeling applied to analysis of salinity tolerance of plants," BMC Plant Biology, 19, 526 (2019).Abdulah, S.*, Ltaief, H., Sun, Y., Genton, M. G., and Keyes, D. E. (2019), “Geostatistical modeling and prediction using mixed precision tile Cholesky factorization,” IEEE International Conference on High-Performance Computing, Data, Analytics, and Data Science, to appear.Castruccio, S., Genton, M. G., and Sun, Y. (2019), "Visualising spatio-temporal models with virtual reality: From fully immersive environments to apps in stereoscopic view," Journal of the Royal Statistical Society - Series A, 182, 379-387. (read before the Royal Statistical Society, Discussion and Rejoinder)Euan, C.*, Sun, Y. and Ombao, H. (2019), "Coherence-based time series clustering for brain connectivity visualization," Annals of Applied Statistics, 13(2), 990-1015.Euan, C.* and Sun, Y. (2019), "Directional spectra-based clustering for visualizing patterns of ocean waves and winds," Journal of Computational and Graphical Statistics, 28(3), 659-670.Genton, M. G., and Sun, Y. (2019), discussion of "Data science, big data, and statistics," by P. Galeano and D. Pena, TEST, 28, 338-341.Li, Y.* and Sun, Y. (2019), "Local likelihood estimation for nonstationary covariance functions with applications to climate model emulation," Statistica Sinica, 29, 1209-1231. (supplementary material)Litvinenko, A., Sun, Y., Genton, M. G., and Keyes, D. (2019), "Likelihood approximation with hierarchical matrices for large spatial datasets," Computational Statistics and Data Analysis, 137, 115-132.Lee, J.*, Sun, Y. and Chang, H. (2019), "Spatial cluster detection of regression coefficient in a mixed effect model," Environmentrics, to appear.Wang, W.* and Sun, Y. (2019), "Penalized local polynomial regression for spatial data," Biometrics, to appear.Tang, Y., Wang, H., Sun, Y. and Hering, A. S. (2019), "Copula-based semiparametric model for spatio-temporal data," Biometrics, to appear.Huang, H.* and Sun, Y. (2018), "A decomposition of total variation depth for understanding functional outliers," Technometrics, 4, 445-458.Maadooliat, M., Sun, Y. and Chen, T.* (2018), "Collective nonparametric spectral density estimation and clustering," Statistics in Medicine, 37(30), 4789-4806.Abdulah, S.*, Ltaief, H., Sun, Y., Genton, M. G., and Keyes, D. E. (2018), "ExaGeoStat: A high performance unified software for geostatistics on manycore systems," IEEE Transactions on Parallel and Distributed Systems, 29, 2778-2784. (ExaGeoStat, ExaGeoStat-R, Documentation)Abdulah, S.*, Ltaief, H., Sun, Y., Genton, M. G., and Keyes, D. E. (2018), "Parallel approximation of the maximum likelihood estimation for the prediction of large-scale geostatistics simulations," IEEE International Conference on Cluster Computing, 98-108.Sun, Y., Chang, X. and Guan, Y. (2018), "Flexible and efficient estimating equations for variogram estimation," Computational Statistics and Data Analysis, 122, 45-58.Castruccio, S., Genton, M. G. and Sun, Y. (2018), "Visualising spatio-temporal models with virtual reality: from fully immersive environments to apps in stereoscopic view," Journal of the Royal Statistical Society-Series A, 182, 379-387. (to be read before the Royal Statistical Society)Huang, H.* and Sun, Y. (2018), "Hierarchical low rank approximation of likelihoods for large spatial datasets," Journal of Computational and Graphical Statistics, 27:1, 110-118. (KAUST Discovery Highlight)Yin, G.*, McCabe, M. F., Mariethoz, G. and Sun, Y. (2017), "Comparison of gap-filling methods for Landsat 7 ETM+ SLC-off imagery," International Journal of Remote Sensing, 38(23), 6653-6679.Huang, H.* and Sun, Y. (2017), "Visualization and assessment of spatio-temporal covariance properties," Spatial Statistics, to appear. (KAUST Discovery Highlight)Meng, R.*, Saade, S., Berger. B, Brien, C., Kurtek, S., Tester, M. and Sun, Y. (2017), "Growth curve registration for evaluating salinity tolerance in barley," Plant Methods, 13-18.Xie, W., Kurtek, S., Bharath, K. and Sun, Y. (2017), "A Geometric approach to visualization of variability in functional data," Journal of the American Statistical Association, 112:519, 979-993. (supplementary materials) (KAUST Discovery Highlight)Sun, Y., Hering, A. S. and Browning, J. M. (2017), "Robust bivariate error detection in skewed data with application to historical radiosonde winds," Environmetrics , 28, e2431 . (KAUST Discovery Highlight)Sun, Y. and Stein, M. L. (2016), "Statistically and computationally efficient estimating equations for large spatial datasets," Journal of Computational and Graphical Statistics, 25, 187-208.Sun, Y., Wang, H. and Fuentes, M. (2016), "Fused adaptive Lasso for spatial and temporal quantile function estimation," Technometrics, 58, 127-137. (supplementary materials)Sun, Y. and Stein, M. L. (2015), "A stochastic space-time model for intermittent precipitation occurrences," Annals of Applied Statistics, 9, 2110-2132. (KAUST Discovery Highlight)Ngo, D., Sun, Y., Genton, M. G., Wu, J., Srinivasan, R., Cramer, S. and Ombao, H. (2015), "An exploratory data analysis of electroencephalograms using the functional boxplots approach," Frontiers in Neuroscience, 9, Article 282, 1-18. (KAUST Discovery Highlight)Dupuis, D. J., Sun, Y. and Wang, H. (2015), "Detecting change-points in extremes, "Statistics And Its Interface, 8, 19-31.Genton, M. G., Castruccio, S., Crippa, P., Dutta, S., Huser, R., Sun, Y. and Vettori, S. (2015), "Visuanimation in statistics," Stat, 4, 81-96.Sun, Y., Bowman, K. P., Genton, M. G., and Tokay, A. (2015), "A Matern model of the spatial covariance structure of point rain rates," Stochastic Environmental Research and Risk Assessment, 29, 411-416.Lopez-Pintado, S., Sun, Y., Lin, J. K., and Genton, M. G. (2014), "Simplicial band depth for multivariate functional data, " Advances in Data Analysis and Classification, 8, 321-338.Genton, M. G., Johnson, C., Potter, K., Stenchikov, G., and Sun, Y. (2014), "Surface boxplots," Stat, 3, 1-11. Surface boxplot software: Installation. Movie: sbplot . Sun, Y., Hart, J. D. and Genton, M. G. (2013), "Improved nonparametric inference for multiple correlated periodic sequences," Stat, 2, 197-210.Apanasovich, T. V., Genton, M. G. and Sun, Y. (2012), "A valid Matern class of cross-covariance functions for multivariate random fields with any number of components, "Journal of the American Statistical Association, 107, 180-193.Cooley, D., Cisewski, J., Erhardt, R. J., Jeon, S., Mannshardt, E., Omolo B. O. and Sun, Y. (2012), "A survey of spatial extremes: measuring spatial dependence and modeling spatial effects," REVSTAT, 10, 135-165.Sun, Y. and Genton, M. G. (2012), "Functional median polish," Journal of Agricultural, Biological, and Environmental Statistics, 17, 354-376.Sun, Y. and Genton, M. G. (2012), "Adjusted functional boxplots for spatio-temporal data visualization and outlier detection," Environmetrics, 23, 54-64Sun, Y., Genton, M. G. and Nychka, D. (2012), "Exact fast computation of band depth for large functional datasets: How quickly can one million curves be ranked?" Stat, 1, 68-74.Sun, Y., Hart, J. D. and Genton, M. G. (2012), "Nonparametric inference for periodic sequences," Technometrics, 54, 83-96. (ENVR Workshop Student Poster Competition Winner) R code: (CVmethod, applications).Sun, Y., Li, B. and Genton, M. G. (2012), "Geostatistics for large datasets, " in Advances And Challenges In Space-time Modelling Of Natural Events, J. M. Montero, E. Porcu, M. Schlather (eds), Springer, Vol. 207, Chapter 3, 55-77.Sun, Y. and Genton, M. G. (2011), "Functional boxplots," Journal of Computational and Graphical Statistics, 20, 316-334.(ASA Student Paper Competition Winner) R code: fbplot (fast computation), help file. Matlab code: fbplot (fast computation) .Xie, Y., Zhao, K., Sun, Y. and Chen, D. (2010), "Gaussian processes for short-Term traffic volume forecasting," Journal of the Transportation Research Board, 2165, 69-78.(TRB Best Paper Award)Sun, Y. and Lu, X. (2006), "A new method in the construction of two-level fractional factorial designs," Proceedings of the Fifth International Conference on Information and Management Sciences, Chengdu, China, 512-520.Process Monitoring and Anomaly Detection 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. and Sun, Y., 2019. Improved kNN-Based Monitoring Schemes for Detecting Faults in PV Systems. IEEE Journal of Photovoltaics, 9, n0. 3: 811 – 821.Zeroual, A., Harrou, F. and Sun, Y., 2019. Road traffic density estimation and congestion detection with a hybrid observer-based strategy. Sustainable Cities and Society, 46, p.101411Zerrouki, N., Harrou, F., Sun, Y. and Hocini, L., 2019. A Machine Learning-based Approach for Land Cover Change Detection Using Remote Sensing and Radiometric Measurements. IEEE Sensors Journal.Cheng, T., Harrou, F., Sun, Y. and Leiknes, T., 2018. Monitoring influent measurements at water resource recovery facility using data-driven soft sensor approach. IEEE Sensors Journal, 19(1), pp.342-352.Harrou, F., Khaldi, B., Sun, Y. and Cherif, F., 2018. Monitoring robotic swarm systems under noisy conditions using an effective fault detection strategy. IEEE Sensors Journal, 19(3), pp.1141-1152.Harrou, F., Dairi, A., Sun, Y., and Senouci, M. (2018). Statistical monitoring of a wastewater treatment plant: A case study. Journal of environmental management, 223, 807-814.Zerrouki, N., Harrou, F., Sun, Y., and Houacine, A. (2018). Vision-based Human Action Classification Using Adaptive Boosting Algorithm. IEEE Sensors Journal, 18(12), 5115-5121.Zerrouki, N., Harrou, F., and Sun, Y. (2018). Statistical Monitoring of Changes to Land Cover. IEEE Geoscience and Remote Sensing Letters, 15(6), 927-931.Harrou, F., Dairi, A., Sun, Y., and Kadri, F. (2018). Detecting Abnormal Ozone Measurements With a Deep Learning-Based Strategy. IEEE Sensors Journal, 18(17), 7222-7232.Dairi, A., Harrou, F., Senouci, M., and Sun, Y. (2018). Unsupervised obstacle detection in driving environments using deep-learning-based stereovision. Robotics and Autonomous Systems, 100, 287-301.Harrou, F., Sun, Y., Madakyaru, M., and Bouyedou, B. (2018). An improved multivariate chart using partial least squares with continuous ranked probability score. IEEE Sensors Journal, 18(16), 6715-6726.Dairi, A., Harrou, F., Sun, Y., and Senouci, M. (2018). Obstacle Detection for Intelligent Transportation Systems Using Deep Stacked Autoencoder and k-Nearest Neighbor Scheme. IEEE Sensors Journal, 18(12), 5122-5132.Zeroual, A., Harrou, F., Sun, Y., and Messai, N. (2018). Integrating Model-Based Observer and Kullback-Leibler Metric for Estimating and Detecting Road Traffic Congestion. IEEE Sensors Journal, 18(20), 8605-8616. Khaldi, B., Harrou, F., Sun, Y., and Cherif, F. (2018). Self-Organization in Aggregating Robot Swarms: A DW-KNN Topological Approach, BioSystems Journal, Elsevier, 165, 106-121.Harrou, F., Sun, Y., Taghezouit, B., Saidi, A., and Hamlati, M. E. (2018). Reliable fault detection and diagnosis of photovoltaic systems based on statistical monitoring approaches. Renewable Energy, 116, 22-37.Harrou F, Zerrouki N, Sun Y, Houacine A, (2017) Vision-Based Fall Detection System for Improving Safety of Elderly People, IEEE Instrumentation & Measurement Magazine, Vol. 20, No. 6, pp. 49-56.Khaldi, B., Harrou, F., Cherif, F., Sun, Y. (2017). Monitoring a robot swarm using a data-driven fault detection approach. Robotics and Autonomous Systems, 97, 193-203. (KAUST Discovery Highlight)Harrou, F., Sun, Y. and Madakyaru, M., (2017). An Improved Wavelet‐Based Multivariable Fault Detection Scheme. In Uncertainty Quantification and Model Calibration. InTechHarrou, F., Madakyaru, M. and Sun, Y., (2017). Improved nonlinear fault detection strategy based on the Hellinger distance metric: Plug flow reactor monitoring. Energy and Buildings, 143, pp.149-161.Zeroual, A., Harrou, F., Sun, Y., Messai, N. (2017). Monitoring road traffic congestion using a macroscopic traffic model and a statistical monitoring scheme. Sustainable Cities and Society, 35, 494-510.Garoudja, E., Harrou, F., Sun, Y., Kara, K., Chouder, A. and Silvestre. S. (2017), "Statistical fault detection in photovoltaic systems," Solar Energy, 150, 485-499.Madakyaru, M., Harrou, F. and Sun, Y. (2017), "Improved data-based fault detection strategy and application to distillation columns," Process Safety and Environmental Protection, 107, 22-34.Harrou, F., Madakyaru, M., Sun, Y., (2016). Incipient Anomaly Detection Using PCA with Multivariate Memory Monitoring Charts: Application to An Air Flow Heating System. Applied Thermal Engineering (Elsevier),109: 65-74. (KAUST Discovery Highlight)Harrou, F., Sun, Y. and Madakyaru, M. (2016), "Kullback-Leibler distance-based enhanced detection of incipient anomalies," Journal of Loss Prevention in the Process Industries (Elsevier), 44, 73-87. Harrou, F., and Sun, Y. (2016), "Statistical monitoring of linear antenna arrays," Engineering Science and Technology, an International Journal, 19, 1781-1787. (KAUST Discovery Highlight).Zerrouki, N., Harrou, F. Sun, Y. and Houacine, A. (2016), "Accelerometer and camera-based strategy for improved human fall detection," Journal of Medical Systems , 40: 284. (KAUST Discovery Highlight)Harrou, F., Madakyaru, M., Sun, Y. and Khadraoui, S. (2016), "Improved detection of incipient anomalies via multivariate memory monitoring charts: application to an air flow heating system," Applied Thermal Engineering, 109, 65-74. (KAUST Discovery Highlight)Harrou, F., Kadri, F., Khadraoui, S. and Sun, Y. (2016), "Ozone measurements monitoring using data-based approach," Process Safety and Environmental Protection, 100, 220-231. (KAUST Discovery Highlight).Harrou, F., Sun, Y. and Khadraoui, S. (2016), "Amalgamation of anomaly-detection indices for enhanced process monitoring," Journal of Loss Prevention in the Process Industries, 40, 365-377.Kadri, F., Harrou, F., Chaabane, S., Sun, Y. and Tahon, C. (2016), "Seasonal ARMA-based SPC charts for anomaly detection: application to emergency department systems," Neurocomputing, 173, 2102-2114.Harrou, F., Kadri, F., Chaabane, S., Tahon, C. and Sun, Y. (2015), "Improved principal component analysis for anomaly detection: application to an emergency department," Computers & Industrial Engineering, 88, 63-77.
