| Frequentist coverage of adaptive nonparametric Bayesian credible sets B Szabó, AW van der Vaart, JH van Zanten Annals of Statistics 43 (4), 1391-1428, 2015 | 106 | 2015 |
| Determination of rate parameters based on both direct and indirect measurements T Turányi, T Nagy, IG Zsély, M Cserháti, T Varga, BT Szabó, I Sedyó, ... International Journal of Chemical Kinetics 44 (5), 284-302, 2012 | 97 | 2012 |
| Uncertainty Quantification for the Horseshoe (with Discussion) Rejoinder S van der Pas, B Szabo, A van der Vaart BAYESIAN ANALYSIS 12 (4), 1270-1274, 2017 | 49* | 2017 |
| Empirical Bayes scaling of Gaussian priors in the white noise model BT Szabó, AW van der Vaart, JH van Zanten Electronic Journal of Statistics 7, 991-1018, 2013 | 48 | 2013 |
| Bayes procedures for adaptive inference in inverse problems for the white noise model BT Knapik, BT Szabó, AW Van Der Vaart, JH Van Zanten Probability Theory and Related Fields 164 (3-4), 771-813, 2016 | 46* | 2016 |
| Adaptive posterior contraction rates for the horseshoe S van der Pas, B Szabó, A van der Vaart Electronic Journal of Statistics 11 (2), 3196-3225, 2017 | 34 | 2017 |
| A sharp adaptive confidence ball for self-similar functions R Nickl, B Szabó Stochastic Processes and their Applications 126 (12), 3913-3934, 2016 | 28 | 2016 |
| Asymptotic behaviour of the empirical Bayes posteriors associated to maximum marginal likelihood estimator J Rousseau, B Szabo The Annals of Statistics 45 (2), 833-865, 2017 | 27 | 2017 |
| Honest Bayesian confidence sets for the L2-norm B Szabo, A van der Vaart, H van Zanten Journal of Statistical Planning and Inference 166, 36-51, 2015 | 26 | 2015 |
| Numerical investigation of the uncertainty of Arrhenius parameters L Varga, B Szabó, IG Zsély, A Zempléni, T Turányi Journal of mathematical chemistry 49 (8), 1798, 2011 | 16 | 2011 |
| An asymptotic analysis of distributed nonparametric methods B Szabó, H van Zanten Journal of Machine Learning Research 20 (87), 1-30, 2019 | 12 | 2019 |
| Spike and slab empirical Bayes sparse credible sets I Castillo, B Szabó Bernoulli 26 (1), 127-158, 2020 | 11 | 2020 |
| Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors J Rousseau, B Szabo arXiv preprint arXiv:1609.05067, 2016 | 7 | 2016 |
| Adaptive distributed methods under communication constraints B Szabo, H van Zanten arXiv preprint arXiv:1804.00864, 2018 | 4 | 2018 |
| A Bayesian nonparametric approach to log-concave density estimation E Mariucci, K Ray, B Szabo arXiv preprint arXiv:1703.09531, 2017 | 3 | 2017 |
| Can we trust Bayesian uncertainty quantification from Gaussian process priors with squared exponential covariance kernel? A Hadji, B Szábo arXiv preprint arXiv:1904.01383, 2019 | 2 | 2019 |
| On Bayesian based adaptive confidence sets for linear functionals B Szabó Bayesian Statistics from Methods to Models and Applications, 91-105, 2015 | 2 | 2015 |
| Variational Bayes for high-dimensional linear regression with sparse priors K Ray, B Szabo arXiv preprint arXiv:1904.07150, 2019 | | 2019 |
| Debiased Bayesian inference for average treatment effects K Ray, B Szabo Advances in Neural Information Processing Systems, 11929-11939, 2019 | | 2019 |
| Stacked Penalized Logistic Regression for Selecting Views in Multi-View Learning W van Loon, M Fokkema, B Szabo, M de Rooij arXiv preprint arXiv:1811.02316, 2018 | | 2018 |
A.W. van der VaartLeiden UniversityVerified email at math.leidenuniv.nl
