Inference on the dynamics of COVID-19 in the United States S Bhattacharjee, S Liao, D Paul, S Chaudhuri Scientific reports 12 (1), 2253, 2022 | 8 | 2022 |
Taming the Pandemic by doing the Mundane S Bhattacharjee, S Liao, D Paul, S Chaudhuri Managing Complexity and COVID-19, 62-82, 2022 | 1 | 2022 |
Analysis of variability of functionals of recombinant protein production trajectories based on limited data S Liao, K Macharoen, KA McDonald, S Nandi, D Paul International Journal of Molecular Sciences, 2022 | 1 | 2022 |
Unraveling heterogeneity of ADNI’s time-to-event data using conditional entropy Part-I: Cross-sectional study S Liao, F Hsieh IEEE Access, 2023 | | 2023 |
Data-driven Computing and Analysis with Contrasting Statistical Developments in Real-world Applications S Liao University of California, Davis, 2023 | | 2023 |
The geometry of colors in van Gogh’s Sunflowers S Liao, P Koehl, J Schultens, F Hsieh Heritage Science 9, 1-19, 2021 | | 2021 |
Color-complexity enabled exhaustive color-dots identification and spatial patterns testing in images S Liao, LY Liu, TA Chen, KY Chen, F Hsieh Plos one 16 (5), e0251258, 2021 | | 2021 |
Inference on the dynamics of the COVID pandemic from observational data (preprint) S Bhattacharjee, S Liao, D Paul, S Chaudhuri | | 2021 |