| Inferential models: A framework for prior-free posterior probabilistic inference R Martin, C Liu Journal of the American Statistical Association 108 (501), 301-313, 2013 | 165 | 2013 |
| Inferential Models: Reasoning with Uncertainty R Martin, C Liu Chapman & Hall/CRC Press, 2015 | 140 | 2015 |
| Empirical Bayes posterior concentration in sparse high-dimensional linear models R Martin, R Mess, SG Walker Bernoulli 23 (3), 1822--1847, 2017 | 127 | 2017 |
| Calibrating general posterior credible regions N Syring, R Martin Biometrika 106 (2), 479-486, 2019 | 121 | 2019 |
| Ten hot topics around scholarly publishing JP Tennant, H Crane, T Crick, J Davila, A Enkhbayar, J Havemann, ... Publications 7 (2), 34, 2019 | 119 | 2019 |
| Dempster–Shafer theory and statistical inference with weak beliefs R Martin, J Zhang, C Liu Statistical Science 25 (1), 72--87, 2010 | 107* | 2010 |
| Satellite conjunction analysis and the false confidence theorem MS Balch, R Martin, S Ferson Proceedings of the Royal Society A 475 (2227), 20180565, 2019 | 87 | 2019 |
| Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector R Martin, SG Walker Electronic Journal of Statistics 8, 2188-2206, 2014 | 74 | 2014 |
| Marginal inferential models: prior-free probabilistic inference on interest parameters R Martin, C Liu Journal of the American Statistical Association 110 (512), 1621-1631, 2015 | 71 | 2015 |
| Conditional inferential models: combining information for prior-free probabilistic inference R Martin, C Liu Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2015 | 71 | 2015 |
| Consistency of a recursive estimate of mixing distributions ST Tokdar, R Martin, JK Ghosh The Annals of Statistics, 2502-2522, 2009 | 65 | 2009 |
| False confidence, non-additive beliefs, and valid statistical inference R Martin International Journal of Approximate Reasoning 113, 39-73, 2019 | 60* | 2019 |
| A nonparametric empirical Bayes framework for large-scale multiple testing R Martin, ST Tokdar Biostatistics 13 (3), 427-439, 2012 | 53 | 2012 |
| On posterior concentration in misspecified models RV Ramamoorthi, K Sriram, R Martin Bayesian Analysis 10 (4), 759–789, 2015 | 47 | 2015 |
| A flexible Bayesian nonparametric model for predicting future insurance claims L Hong, R Martin North American Actuarial Journal 21 (2), 228-241, 2017 | 44 | 2017 |
| Plausibility functions and exact frequentist inference R Martin Journal of the American Statistical Association 110 (512), 1552–1561, 2015 | 44 | 2015 |
| On recursive Bayesian predictive distributions PR Hahn, R Martin, SG Walker Journal of the American Statistical Association 113 (523), 1085-1093, 2018 | 42 | 2018 |
| A note on p-values interpreted as plausibilities R Martin, C Liu Statistica Sinica 24, 1703-1716, 2014 | 39 | 2014 |
| Stochastic approximation and Newton’s estimate of a mixing distribution R Martin, JK Ghosh Statistical Science 23 (3), 365-382, 2008 | 39 | 2008 |
| Gibbs posterior concentration rates under sub-exponential type losses N Syring, R Martin Bernoulli 29 (2), 1080-1108, 2023 | 38 | 2023 |
