| Bayesian regression trees for high-dimensional prediction and variable selection AR Linero Journal of the American Statistical Association 113 (522), 626-636, 2018 | 240 | 2018 |
| Bayesian additive regression trees: A review and look forward J Hill, A Linero, J Murray Annual Review of Statistics and Its Application 7 (1), 251-278, 2020 | 223 | 2020 |
| Bayesian regression tree ensembles that adapt to smoothness and sparsity AR Linero, Y Yang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2018 | 203 | 2018 |
| A review of tree-based Bayesian methods AR Linero Communications for Statistical Applications and Methods 24 (6), 543-559, 2017 | 75 | 2017 |
| Power of two: Assessing the impact of a second measurement of the weak-charge form factor of J Piekarewicz, AR Linero, P Giuliani, E Chicken Physical Review C 94 (3), 034316, 2016 | 64 | 2016 |
| A General Bayesian Nonparametric Approach for Missing Outcome Data AR Linero, MJ Daniels | 63* | |
| Semiparametric mixed‐scale models using shared Bayesian forests AR Linero, D Sinha, SR Lipsitz Biometrics 76 (1), 131-144, 2020 | 49* | 2020 |
| A flexible Bayesian approach to monotone missing data in longitudinal studies with nonignorable missingness with application to an acute schizophrenia clinical trial AR Linero, MJ Daniels Journal of the American Statistical Association 110 (509), 45-55, 2015 | 40* | 2015 |
| Bayesian survival tree ensembles with submodel shrinkage AR Linero, P Basak, Y Li, D Sinha Bayesian Analysis 17 (3), 997-1020, 2022 | 32 | 2022 |
| Adaptive conditional distribution estimation with Bayesian decision tree ensembles Y Li, AR Linero, J Murray Journal of the American Statistical Association 118 (543), 2129-2142, 2023 | 31 | 2023 |
| Semiparametric analysis of clustered interval‐censored survival data using soft Bayesian additive regression trees (SBART) P Basak, A Linero, D Sinha, S Lipsitz Biometrics 78 (3), 880-893, 2022 | 30 | 2022 |
| Bayesian nonparametric analysis of longitudinal studies in the presence of informative missingness AR Linero Biometrika 104 (2), 327-341, 2017 | 30 | 2017 |
| The how and why of Bayesian nonparametric causal inference AR Linero, JL Antonelli Wiley Interdisciplinary Reviews: Computational Statistics 15 (1), e1583, 2023 | 22 | 2023 |
| Interaction detection with Bayesian decision tree ensembles J Du, AR Linero The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 21 | 2019 |
| Mediation analysis using Bayesian tree ensembles. AR Linero, Q Zhang Psychological Methods, 2022 | 15 | 2022 |
| On the Toeplitz lemma, convergence in probability, and mean convergence A Linero, A Rosalsky Stochastic Analysis and Applications 31 (4), 684-694, 2013 | 15 | 2013 |
| Generalized Bayesian additive regression trees models: Beyond conditional conjugacy AR Linero Journal of the American Statistical Association, 1-14, 2024 | 13 | 2024 |
| Density regression with Bayesian additive regression trees V Orlandi, J Murray, A Linero, A Volfovsky arXiv preprint arXiv:2112.12259, 2021 | 11 | 2021 |
| A Bayesian approach to sequential monitoring of nonlinear profiles using wavelets R Varbanov, E Chicken, A Linero, Y Yang Quality and Reliability Engineering International 35 (3), 761-775, 2019 | 11 | 2019 |
| Bayesian nonparametrics for causal inference and missing data MJ Daniels, A Linero, J Roy Chapman and Hall/CRC, 2023 | 10 | 2023 |
Jared MurrayAssociate Professor of Statistics and Machine Learning, University of Texas at AustinVerified email at mccombs.utexas.edu