Data Science

Data Compression

• Mak, S. and V. Roshan Joseph. (2018) “Support Points”. Annals of Statistics, 46, 2562-2592. R package: support.
• Mak, S. and V. Roshan Joseph. “Projected Support Points: A New Method for High-Dimensional Data Reduction”. arXiv
• V. Roshan Joseph and Mak, S. (2021). “Supervised Compression of Big Data”. Statistical Analysis and Data Mining: The ASA Data Science Journal, 14, 217-229. R package: supercompress.

Data Splitting

• V. Roshan Joseph and Vakayil, A. (2022). “SPlit: An Optimal Method for Data Splitting”. Technometrics, 64, 166-176. R package: SPlit. (Wilcoxon Award).
• V. Roshan Joseph. (2022). “Optimal Ratio for Data Splitting“. Statistical Analysis and Data Mining: The ASA Data Science Journal, 15, 531-538. R package: SPlit.

Data Twinning

• Vakayil, A. and V. Roshan Joseph (2022). “Data Twinning“. Statistical Analysis and Data Mining: The ASA Data Science Journal, 15, 598-610. R package. Python package.
• Vakayil, A. and V. Roshan Joseph. (2023+). “A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling“. Technometrics, to appear. R package: twingp. arXiv.

Factor Importance

• Huang, C. and V. Roshan Joseph. “Factor Importance Ranking and Selection using Total Indices”. arXiv.