Botond Szabó

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A.W. van der VaartTU DelftCorreu electrònic verificat a tudelft.nl
Harry van ZantenCorreu electrònic verificat a vu.nl
Kolyan RaySenior Lecturer in Statistics, Imperial College LondonCorreu electrònic verificat a ic.ac.uk
Stéphanie van der PasAssociate professor, Amsterdam UMCCorreu electrònic verificat a amsterdamumc.nl
Judith RousseauUniversity of oxfordCorreu electrònic verificat a stats.ox.ac.uk
Tamas TuranyiEötvös Loránd University BudapestCorreu electrònic verificat a chem.elte.hu
Lasse VuursteenPostdoc at Wharton, Department of Statistics and Data Science, University of PennsylvaniaCorreu electrònic verificat a wharton.upenn.edu
Bartek KnapikSamsung R&D Institute PolandCorreu electrònic verificat a samsung.com
Tibor NagySenior Research Associate at the Research Centre for Natural Sciences, Budapest, HungaryCorreu electrònic verificat a ttk.hu
Mark de RooijFull professor, Institute of Psychology, Methodology and Statistics Unit, Leiden UniversityCorreu electrònic verificat a fsw.leidenuniv.nl
Marjolein FokkemaAssociate Professor at Universiteit LeidenCorreu electrònic verificat a fsw.leidenuniv.nl
Ismaël CastilloProfessor of Statistics, Sorbonne UniversitéCorreu electrònic verificat a upmc.fr
Richard NicklUniversity of CambridgeCorreu electrònic verificat a statslab.cam.ac.uk
Daniele DuranteAssociate Professor, Department of Decision Sciences, Bocconi UniversityCorreu electrònic verificat a unibocconi.it
Ester MariucciHumboldt Universität zu BerlinCorreu electrònic verificat a math.hu-berlin.de
Tim van ErvenAssociate professor at the University of Amsterdam, the NetherlandsCorreu electrònic verificat a uva.nl

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Botond Szabó

Professor of Statistics, Bocconi University

Correu electrònic verificat a unibocconi.it - Pàgina d'inici

Bayesian Nonparametrics


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
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	194	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	190	2012
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	139	2022
Uncertainty quantification for the horseshoe (with discussion) S Pas, B Szabo, A Vaart Bayesian Analysis 12 (4), 1221-1249, 2017	137*	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	95*	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	93	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	80	2013
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	73	2017
An asymptotic analysis of distributed nonparametric methods B Szabó, H Van Zanten Journal of Machine Learning Research 20 (87), 1-30, 2019	49	2019
Asymptotic frequentist coverage properties of bayesian credible sets for sieve priors J Rousseau, B Szabo Annals of Statistics 48 (4), 2155-2179, 2020	45	2020
Spike and slab variational Bayes for high dimensional logistic regression K Ray, B Szabo, G Clara Advances in Neural Information Processing Systems 33, 2020	41	2020
A sharp adaptive confidence ball for self-similar functions R Nickl, B Szabó Stochastic Processes and their Applications 126 (12), 3913-3934, 2016	38	2016
Spike and slab empirical Bayes sparse credible sets I Castillo, B Szabó Bernoulli 26 (1), 127-158, 2020	32	2020
Adaptive distributed methods under communication constraints B Szabo, H van Zanten Annals of Statistics 48 (4), 2347-2380, 2020	31	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	30	2015
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	25	2011
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	21	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	21	2020
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	19	2022
Distributed function estimation: Adaptation using minimal communication B Szabó, H van Zanten Mathematical Statistics and Learning 5 (3/4), 159-199, 2022	17	2022

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