Követés
Botond Szabó
Botond Szabó
Associate Professor, Bocconi University
E-mail megerősítve itt: unibocconi.it - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
1902015
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
1832012
Uncertainty quantification for the horseshoe (with discussion)
S Pas, B Szabo, A Vaart
Bayesian Analysis 12 (4), 1221-1249, 2017
132*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
1232022
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
88*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
872017
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
782013
Asymptotic behaviour of the empirical Bayes posteriors associated to maximum marginal likelihood estimator
J Rousseau, B Szabo
Annals of Statistics 45 (2), 833-865, 2017
642017
An asymptotic analysis of distributed nonparametric methods
B Szabó, H Van Zanten
Journal of Machine Learning Research 20 (87), 1-30, 2019
462019
Asymptotic frequentist coverage properties of bayesian credible sets for sieve priors
J Rousseau, B Szabo
Annals of Statistics 48 (4), 2155-2179, 2020
422020
Spike and slab variational Bayes for high dimensional logistic regression
K Ray, B Szabo, G Clara
Advances in Neural Information Processing Systems 33, 2020
402020
A sharp adaptive confidence ball for self-similar functions
R Nickl, B Szabó
Stochastic Processes and their Applications 126 (12), 3913-3934, 2016
362016
Spike and slab empirical Bayes sparse credible sets
I Castillo, B Szabó
Bernoulli 26 (1), 127-158, 2020
292020
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
282015
Adaptive distributed methods under communication constraints
B Szabo, H van Zanten
Annals of Statistics 48 (4), 2347-2380, 2020
272020
Numerical investigation of the uncertainty of Arrhenius parameters
L Varga, B Szabó, IG Zsély, A Zempléni, T Turányi
Journal of mathematical chemistry 49, 1798-1809, 2011
242011
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
202021
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
202020
Contraction rates for sparse variational approximations in Gaussian process regression
D Nieman, B Szabo, H van Zanten
Journal of Machine Learning Research 23 (205), 1−26, 2022
162022
Optimal distributed composite testing in high-dimensional Gaussian models with 1-bit communication
B Szabó, L Vuursteen, H Van Zanten
IEEE Transactions on Information Theory 68 (6), 4070-4084, 2022
15*2022
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