| Dynamic shrinkage processes DR Kowal, DS Matteson, D Ruppert Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2019 | 97 | 2019 |
| A Bayesian multivariate functional dynamic linear model DR Kowal, DS Matteson, D Ruppert Journal of the American Statistical Association 112 (518), 733-744, 2017 | 75 | 2017 |
| Functional autoregression for sparsely sampled data DR Kowal, DS Matteson, D Ruppert Journal of Business & Economic Statistics 37 (1), 97-109, 2019 | 52 | 2019 |
| Bayesian function-on-scalars regression for high-dimensional data DR Kowal, DC Bourgeois Journal of Computational and Graphical Statistics 29 (3), 629-638, 2020 | 51 | 2020 |
| Mechanical heterogeneities in the subendothelial matrix develop with age and decrease with exercise JC Kohn, A Chen, S Cheng, DR Kowal, MR King, CA Reinhart-King Journal of Biomechanics 49 (9), 1447-1453, 2016 | 39 | 2016 |
| Probing the biophysical properties of primary breast tumor-derived fibroblasts TA Alcoser, F Bordeleau, SP Carey, MC Lampi, DR Kowal, S Somasegar, ... Cellular and molecular bioengineering 8, 76-85, 2015 | 25 | 2015 |
| Simultaneous transformation and rounding (STAR) models for integer-valued data DR Kowal, A Canale Electronic Journal of Statistics 14 (1), 1744-1772, 2020 | 20 | 2020 |
| Fast, optimal, and targeted predictions using parameterized decision analysis DR Kowal Journal of the American Statistical Association 117 (540), 1875-1886, 2022 | 19 | 2022 |
| Dynamic regression models for time-ordered functional data DR Kowal Bayesian Analysis 16 (2), 459-487, 2021 | 16* | 2021 |
| Racial residential segregation shapes the relationship between early childhood lead exposure and fourth-grade standardized test scores MA Bravo, D Zephyr, D Kowal, K Ensor, ML Miranda Proceedings of the National Academy of Sciences 119 (34), e2117868119, 2022 | 14 | 2022 |
| Bayesian variable selection for understanding mixtures in environmental exposures DR Kowal, M Bravo, H Leong, A Bui, RJ Griffin, KB Ensor, ML Miranda Statistics in medicine 40 (22), 4850-4871, 2021 | 14 | 2021 |
| Bayesian subset selection and variable importance for interpretable prediction and classification DR Kowal Journal of Machine Learning Research 23 (108), 1-38, 2022 | 13 | 2022 |
| Semiparametric functional factor models with Bayesian rank selection DR Kowal, A Canale Bayesian Analysis 18 (4), 1161-1189, 2023 | 12 | 2023 |
| Integer-valued functional data analysis for measles forecasting DR Kowal Biometrics 75 (4), 1321-1333, 2019 | 9 | 2019 |
| Semiparametric count data regression for self‐reported mental health DR Kowal, B Wu Biometrics 79 (2), 1520-1533, 2023 | 8 | 2023 |
| Warped dynamic linear models for time series of counts B King, DR Kowal Bayesian Analysis 1 (1), 1-26, 2023 | 6 | 2023 |
| Semiparametric discrete data regression with Monte Carlo inference and prediction DR Kowal, B Wu arXiv preprint arXiv:2110.12316, 2021 | 6 | 2021 |
| Nonlinear state-space modeling approaches to real-time autonomous geosteering Y Miao, DR Kowal, N Panchal, J Vila, M Vannucci Journal of Petroleum Science and Engineering 189, 107025, 2020 | 6 | 2020 |
| Bayesian adaptive and interpretable functional regression for exposure profiles Y Gao, DR Kowal The Annals of Applied Statistics 18 (1), 642-663, 2024 | 5 | 2024 |
| Subset selection for linear mixed models DR Kowal Biometrics, 2022 | 5 | 2022 |
