Botond Szabó
Botond Szabó
Associate Professor, Bocconi University
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Zitiert von
Zitiert von
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
Determination of rate parameters based on both direct and indirect measurements
T Turányi, T Nagy, IG Zsély, M Cserháti, T Varga, BT Szabó, I Sedyo, ...
International Journal of Chemical Kinetics 44 (5), 284-302, 2012
Uncertainty quantification for the horseshoe (with discussion)
S van der Pas, B Szabó, A van der Vaart
Bayesian Analysis 12 (4), 1221-1274, 2017
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), 771-813, 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
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
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
Variational Bayes for high-dimensional linear regression with sparse priors
K Ray, B Szabó
Journal of the American Statistical Association 117 (539), 1270-1281, 2022
A sharp adaptive confidence ball for self-similar functions
R Nickl, B Szabó
Stochastic Processes and their Applications 126 (12), 3913-3934, 2016
An asymptotic analysis of distributed nonparametric methods.
B Szabó, H Van Zanten
J. Mach. Learn. Res. 20 (87), 1-30, 2019
Asymptotic frequentist coverage properties of bayesian credible sets for sieve priors
J Rousseau, B Szabo
Annals of Statistics 48 (4), 2155-2179, 2020
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
Spike and slab empirical Bayes sparse credible sets
I Castillo, B Szabó
Bernoulli 26 (1), 127-158, 2020
Adaptive distributed methods under communication constraints
B Szabo, H van Zanten
The Annals of Statistics 48 (4), 2347-2380, 2020
Numerical investigation of the uncertainty of Arrhenius parameters
L Varga, B Szabó, IG Zsély, A Zempléni, T Turányi
Journal of mathematical chemistry 49 (8), 1798-1809, 2011
Spike and slab variational Bayes for high dimensional logistic regression
K Ray, B Szabo, G Clara
Advances in Neural Information Processing Systems 33, 2020
Debiased Bayesian inference for average treatment effects
K Ray, B Szabó
Advances in Neural Information Processing Systems 32, 2019
Fast exact Bayesian inference for sparse signals in the normal sequence model
T van Erven, B Szabó
Bayesian Analysis 16 (3), 933-960, 2021
Can we trust Bayesian uncertainty quantification from Gaussian process priors with squared exponential covariance kernel?
A Hadji, B Szabo
SIAM/ASA Journal on Uncertainty Quantification 9 (1), 185-230, 2021
Stacked penalized logistic regression for selecting views in multi-view learning
W van Loon, M Fokkema, B Szabo, M de Rooij
Information Fusion 61, 113-123, 2020
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