IRIS
SZABO, BOTOND TIBOR
 Distribuzione geografica
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Continente #
EU - Europa 539
NA - Nord America 432
AS - Asia 231
SA - Sud America 3
OC - Oceania 1
Totale 1.206
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Nazione #
US - Stati Uniti d'America 428
IE - Irlanda 281
IT - Italia 128
CN - Cina 106
SG - Singapore 60
FI - Finlandia 46
DE - Germania 32
TR - Turchia 29
HK - Hong Kong 17
GB - Regno Unito 14
NL - Olanda 13
SE - Svezia 6
FR - Francia 4
BE - Belgio 3
RO - Romania 3
AE - Emirati Arabi Uniti 2
AN - Antille olandesi 2
AZ - Azerbaigian 2
CZ - Repubblica Ceca 2
IL - Israele 2
JO - Giordania 2
KG - Kirghizistan 2
RU - Federazione Russa 2
TW - Taiwan 2
AM - Armenia 1
AU - Australia 1
BG - Bulgaria 1
BO - Bolivia 1
BR - Brasile 1
CA - Canada 1
CL - Cile 1
DO - Repubblica Dominicana 1
HU - Ungheria 1
IR - Iran 1
JP - Giappone 1
LT - Lituania 1
MY - Malesia 1
PH - Filippine 1
PL - Polonia 1
TH - Thailandia 1
UA - Ucraina 1
UZ - Uzbekistan 1
Totale 1.206
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Città #
Dublin 281
Chandler 120
Milan 93
Singapore 45
Helsinki 43
Beijing 32
Boardman 26
Boston 24
Lawrence 24
Wilmington 18
Hong Kong 16
Modena 15
Redmond 14
Ashburn 13
Los Angeles 11
Frankfurt am Main 7
Leiden 7
Ann Arbor 6
Gelsenkirchen 4
Brussels 3
Bucharest 3
Lappeenranta 3
London 3
Naples 3
North Bergen 3
Norwalk 3
Amman 2
Baku 2
Bishkek 2
Caserta 2
Dongguan 2
Dubai 2
Houston 2
Katwijk Aan Zee 2
Mountain View 2
New York 2
Prague 2
Rome 2
San Lazzaro di Savena 2
West Jordan 2
West Lafayette 2
Willemstad 2
Amsterdam 1
Bergamo 1
Bonndorf 1
Budapest 1
Central 1
Delft 1
Groningen 1
Haifa 1
Manila 1
Melbourne 1
Mortara 1
Munich 1
Newark 1
Nuremberg 1
Ottawa 1
Paris 1
Phoenix 1
Pozzuolo Martesana 1
Prineville 1
Sankt Augustin 1
Santiago 1
Santo Domingo Este 1
Sofia 1
Sucre 1
São Paulo 1
Tashkent 1
Tel Aviv 1
Tokyo 1
Verona 1
Vilnius 1
Voronezh 1
Yerevan 1
Zanjan 1
Totale 885
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Nome #
Can we trust Bayesian uncertainty quantification from Gaussian process priors with squared exponential covariance kernel? 60
Contributed Discussion to "Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects" 56
Spike and slab variational Bayes for high dimensional logistic regression 56
Rejoinder to discussions of “Frequentist coverage of adaptive nonparametric Bayesian credible sets” 54
Debiased Bayesian inference for average treatment effects 53
Frequentist coverage of adaptive nonparametric Bayesian credible sets 52
Spike and slab empirical Bayes sparse credible sets 46
An asymptotic analysis of distributed nonparametric methods 45
Adaptive posterior contraction rates for the horseshoe 44
A Bayesian nonparametric approach to log-concave density estimation 43
Determination of rate parameters based on both direct and indirect measurements 43
Asymptotic frequentist coverage properties of bayesian credible sets for sieve priors 42
Honest Bayesian confidence sets for the L2-norm 42
Variational Bayes for high-dimensional linear regression with sparse priors 41
Optimal high-dimensional and nonparametric distributed testing under communication constraints 40
Fast exact Bayesian inference for sparse signals in the normal sequence model 40
Asymptotic behaviour of the empirical bayes posteriors associated to maximum marginal likelihood estimator 40
Numerical investigation of the uncertainty of Arrhenius parameters 39
Analyzing hierarchical multi-view MRI data with StaPLR: an application to Alzheimer's disease classification 38
A sharp adaptive confidence ball for self-similar functions 38
Bayes procedures for adaptive inference in inverse problems for the white noise model 38
Adaptive distributed methods under communication constraints 37
Empirical Bayes scaling of Gaussian priors in the white noise model 37
Contraction rates for sparse variational approximations in Gaussian process regression 36
On Bayesian based adaptive confidence sets for linear functionals 36
Distributed function estimation: adaptation using minimal communication 32
Uncertainty quantification for the horseshoe (with discussion) 31
Kolyan Ray and Botond Szabo’s contribution to the Discussion of “Martingale Posterior Distributions” by Fong, Holmes and Walke 29
Stacked penalized logistic regression for selecting views in multi-view learning 27
Optimal distributed composite testing in high-dimensional Gaussian models with 1-bit communication 26
Optimal testing using combined test statistics across independent studies 25
Variational Gaussian processes for linear inverse problems 23
Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression 13
View selection in multi-view stacking: choosing the meta-learner 12
Skewed Bernstein-von Mises theorem and skew-modal approximations 3
Totale 1.317
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Categoria #
all - tutte 11.739
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 11.739
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/2022217 0 0 4 1 1 70 24 30 31 4 15 37
2022/2023576 36 52 8 25 16 22 13 38 318 4 22 22
2023/2024406 20 23 20 7 61 50 21 47 28 24 13 92
2024/2025118 8 6 69 22 13 0 0 0 0 0 0 0
Totale 1.317