| Anisotropic functional Laplace deconvolution R Benhaddou, M Pensky, R Rajapakshage Journal of Statistical Planning and Inference 199, 271-285, 2019 | 12 | 2019 |
| Inherent variability assessment from sparse property data of overburden soils and intermediate geomaterials using random field approaches OE Oluwatuyi, R Holt, R Rajapakshage, SS Wulff, K Ng Georisk: Assessment and Management of Risk for Engineered Systems and …, 2022 | 8 | 2022 |
| Quantifying geological uncertainty using conditioned spatial Markov chains OE Oluwatuyi, R Rajapakshage, SS Wulff, K Ng Geo-Congress 2022, 436-445, 2022 | 5 | 2022 |
| Discussion of “Experiences with big data: Accounts from a data scientist’s perspective” TJ Robinson, RC Giles, RU Rajapakshage Quality Engineering 32 (4), 543-549, 2020 | 5 | 2020 |
| Optimal site investigation through combined geological and property uncertainties analysis OE Oluwatuyi, KW Ng, SS Wulff, R Rajapakshage Geotechnical and Geological Engineering 41 (4), 2377-2393, 2023 | 4 | 2023 |
| Proposed hybrid approach for three-dimensional subsurface simulation to improve boundary determination and design of optimum site investigation plan for pile foundations OE Oluwatuyi, R Rajapakshage, SS Wulff, K Ng Soils and Foundations 63 (1), 101269, 2023 | 4 | 2023 |
| Is clustering advantageous in statistical ill-posed linear inverse problems? R Rajapakshage, M Pensky IEEE Transactions on Information Theory 66 (11), 7180-7195, 2020 | 2 | 2020 |
| Estimation and clustering in statistical Ill-posed linear inverse problems R Rajapakshage | 1 | 2019 |
| Clustering in statistical ill-posed linear inverse problems R Rajapakshage, M Pensky arXiv preprint arXiv:1810.06989, 2018 | 1 | 2018 |
| An interpretable time series machine learning method for varying forecast and nowcast lengths in wastewater-based epidemiology M Lai, SS Wulff, Y Cao, TJ Robinson, R Rajapaksha MethodsX 11, 102382, 2023 | | 2023 |
| Forecasting Foreign Exchange Rate using the Kalman Filter Approach PT Mapatuna, RRLUI Rajapaksha, JK Wijerathne Uva Wellassa Research Symposium 2011, 2011 | | 2011 |
Kam NgUniversity of WyomingVerified email at uwyo.edu
