| An overview of univariate and multivariate karhunen loève expansions in statistics R Daw, M Simpson, CK Wikle, SH Holan, JR Bradley Journal of the Indian Society for Probability and Statistics 23 (2), 285-326, 2022 | 6 | 2022 |
| REDS: Random ensemble deep spatial prediction R Daw, CK Wikle Environmetrics 34 (1), e2780, 2023 | 5 | 2023 |
| Supervised spatial regionalization using the Karhunen-Loève expansion and minimum spanning trees R Daw, CK Wikle Journal of Data Science 20 (4), 566-584, 2022 | 2 | 2022 |
| Correcting spatial Gaussian process parameter and prediction variance estimation under informative sampling EM Schliep, CK Wikle, R Daw arXiv preprint arXiv:2108.12354, 2021 | 2 | 2021 |
| A Criterion for Multivariate Regionalization of Spatial Data R Daw, CK Wikle, JR Bradley, SH Holan arXiv preprint arXiv:2312.12287, 2023 | | 2023 |
| Correcting for informative sampling in spatial covariance estimation and kriging predictions EM Schliep, CK Wikle, R Daw Journal of Geographical Systems 25 (4), 587-613, 2023 | | 2023 |
| Methodologies for low-rank analysis and regionalization for multi-scale spatial datasets R Daw University of Missouri--Columbia, 2023 | | 2023 |
| Impact of stand your ground, background checks and conceal and carry laws on homicide rates in the US S Chakraborty, CE Menifield, R Daw Journal of Public Management & Social Policy 29 (1), 6, 2022 | | 2022 |
| A New Growth Rate Measure in Identifying Extended Gompertz Growth Curve and Development of Goodness-of-fit Test F Yeasmin, R Daw, B Chakraborty, A Gupta, S Bhattacharya, ... Calcutta Statistical Association Bulletin 73 (2), 127-145, 2021 | | 2021 |
| Deep Neural Network in Cusp Catastrophe Model R Daw, Z He arXiv preprint arXiv:2004.02359, 2020 | | 2020 |
