Yan Song is a Postdoctoral Fellow at King Abdullah University of Science and Technology (KAUST), affiliated with the Spatio-Temporal Statistics and Data Science (STSDS) research group led by Prof. Genton. She received her Ph.D. degree in Statistics from Renmin University of China in 2023. During her doctoral studies, Yan Song undertook research visits to Hong Kong Baptist University and KAUST. She received her BS degree in Statistics from Beijing Institute of Technology, China, 2018. Her research interests include large-scale spatio-temporal statistics, subsampling, and non-parametric regression.
Selected Publications
Song, Y., Khalid, Z. and Genton, M. G. (2024) ‘Efficient Stochastic Generators with Spherical Harmonic Transformation for High-Resolution Global Climate Simulations from CESM2-LENS2’, Journal of the American Statistical Association, pp. 1–15.
Zhang, M., Song, Y. and Dai, W. (2023) ‘Fast Robust Location and Scatter Estimation: A Depth-based Method’, Technometrics, 66(1), pp. 14–27.
Hong, Y., Song, Y., Abdulah, S. et al. (2023) 'The Third Competition on Spatial Statistics for Large Datasets', Journal of Agricultural, Biological, and Environmental Statistics, 28, pp. 618–635.
Dai, W., Song, Y. (Co-first auther) and Wang, D. (2022) ‘A Subsampling Method for Regression Problems Based on Minimum Energy Criterion’, Technometrics, 65(2), pp. 192–205.
Song, Y., Dai, W. (2024) 'Deterministic subsampling for logistic regression with massive data', Computational Statistics, 39(3), pp. 709–732.