| Prediction Regions for Poisson and Over-Dispersed Poisson Regression Models with Applications in Forecasting the Number of Deaths during the COVID-19 Pandemic T Kim, B Lieberman, G Luta, EA Peña Open Statistics 2 (1), 81-112, 2021 | 10 | 2021 |
| Prediction intervals for Poisson‐based regression models T Kim, B Lieberman, G Luta, EA Peña Wiley Interdisciplinary Reviews: Computational Statistics, e1568, 2021 | 9 | 2021 |
| On optimal correlation-based prediction M Bottai, T Kim, B Lieberman, G Luta, E Peña The American Statistician 76 (4), 313-321, 2022 | 7 | 2022 |
| Density deconvolution with non–standard error distributions: Rates of convergence and adaptive estimation A Goldenshluger, T Kim Electronic Journal of Statistics 15 (1), 3394-3427, 2021 | 3 | 2021 |
| Median confidence regions in a nonparametric model EA Pena, T Kim Electronic Journal of Statistics 13 (2), 2348-2390, 2019 | 3 | 2019 |
| Maximum Agreement Linear Prediction via the Concordance Correlation Coefficient T Kim, G Luta, M Bottai, P Chausse, G Doros, EA Pena arXiv preprint arXiv:2304.04221, 2023 | 1 | 2023 |
| Improved Multiple Confidence Intervals via Thresholding Informed by Prior Information T Kim, EA Pena arXiv preprint arXiv:1912.03756, 2019 | | 2019 |
| Investigations on Multiple Interval Estimators T Kim University of South Carolina, 2019 | | 2019 |
Edsel A. PenaProfessor at University of South CarolinaDirección de correo verificada de stat.sc.edu
