IRIS
PRUENSTER, IGOR
 Distribuzione geografica
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Continente #
NA - Nord America 7.847
EU - Europa 7.827
AS - Asia 4.074
SA - Sud America 488
AF - Africa 117
OC - Oceania 12
Continente sconosciuto - Info sul continente non disponibili 4
Totale 20.369
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Nazione #
US - Stati Uniti d'America 7.498
RU - Federazione Russa 1.979
IT - Italia 1.291
CN - Cina 1.229
SG - Singapore 1.076
IE - Irlanda 990
FI - Finlandia 905
DE - Germania 713
UA - Ucraina 546
GB - Regno Unito 544
VN - Vietnam 499
TR - Turchia 378
BR - Brasile 367
CA - Canada 263
FR - Francia 262
HK - Hong Kong 259
SE - Svezia 160
IN - India 113
BG - Bulgaria 90
BD - Bangladesh 83
KR - Corea 75
MX - Messico 61
PL - Polonia 56
IL - Israele 54
ZA - Sudafrica 52
IQ - Iraq 47
CZ - Repubblica Ceca 46
NL - Olanda 42
AR - Argentina 37
CH - Svizzera 31
ES - Italia 30
PK - Pakistan 29
JP - Giappone 28
AT - Austria 24
ID - Indonesia 24
BE - Belgio 23
SA - Arabia Saudita 21
CL - Cile 20
LT - Lituania 20
MA - Marocco 19
PH - Filippine 16
AZ - Azerbaigian 14
EC - Ecuador 14
TH - Thailandia 14
VE - Venezuela 13
CO - Colombia 12
KE - Kenya 11
LV - Lettonia 11
NP - Nepal 11
IR - Iran 10
MY - Malesia 10
PT - Portogallo 10
PY - Paraguay 10
RO - Romania 10
AU - Australia 8
JO - Giordania 8
KG - Kirghizistan 8
PE - Perù 8
AE - Emirati Arabi Uniti 7
DZ - Algeria 7
LB - Libano 7
SI - Slovenia 7
UZ - Uzbekistan 7
AM - Armenia 6
CR - Costa Rica 6
EG - Egitto 6
HN - Honduras 5
KZ - Kazakistan 5
LK - Sri Lanka 5
BA - Bosnia-Erzegovina 4
DK - Danimarca 4
GR - Grecia 4
JM - Giamaica 4
OM - Oman 4
SN - Senegal 4
UY - Uruguay 4
AL - Albania 3
BH - Bahrain 3
BO - Bolivia 3
BY - Bielorussia 3
CG - Congo 3
CY - Cipro 3
DO - Repubblica Dominicana 3
EE - Estonia 3
EU - Europa 3
GE - Georgia 3
HU - Ungheria 3
LU - Lussemburgo 3
MN - Mongolia 3
NG - Nigeria 3
PA - Panama 3
SK - Slovacchia (Repubblica Slovacca) 3
TN - Tunisia 3
BN - Brunei Darussalam 2
ET - Etiopia 2
GH - Ghana 2
GT - Guatemala 2
HR - Croazia 2
KH - Cambogia 2
LA - Repubblica Popolare Democratica del Laos 2
Totale 20.343
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Città #
Dublin 988
Ashburn 880
San Jose 822
Helsinki 804
Dallas 717
Ann Arbor 595
Chandler 581
Singapore 542
Milan 462
Frankfurt am Main 458
Moscow 449
Hefei 448
Jacksonville 447
Hong Kong 251
Beijing 238
Izmir 225
Toronto 202
Dearborn 198
Southend 168
New York 165
Salerno 160
Council Bluffs 145
Boardman 132
Dong Ket 132
Houston 122
Los Angeles 118
Edison 117
Wilmington 117
Ho Chi Minh City 116
Boston 110
Lauterbourg 102
Lawrence 102
Modena 96
Mountain View 88
Hanoi 84
Rome 77
Seoul 74
Redwood City 62
London 57
The Dalles 54
Fairfield 52
Woodbridge 50
São Paulo 48
Tel Aviv 46
Johannesburg 44
Warsaw 37
Munich 34
Buffalo 33
Nanjing 30
Fremont 29
Nuremberg 29
Seattle 29
Santa Clara 28
Mexico City 27
Orem 26
Kocaeli 24
Kunming 24
Brussels 23
Montreal 23
Mumbai 23
Atlanta 21
Baghdad 21
Tokyo 21
Chennai 19
Fuzhou 19
Norwalk 19
Amsterdam 18
Da Nang 17
Nanchang 17
Stockholm 17
Brno 16
Chicago 16
Denver 16
Vienna 16
Ladispoli 15
Phoenix 15
Turku 15
Haiphong 14
Jinan 14
Santiago 14
Brooklyn 13
Jakarta 13
Assago 12
Baku 12
Bexley 12
Ottawa 12
Pavia 12
Poplar 12
Ankara 11
Auburn Hills 11
Genova 11
Guangzhou 11
Islamabad 11
Moncalieri 11
Riga 11
San Francisco 11
Wroclaw 11
Belo Horizonte 10
Düsseldorf 10
Irvine 10
Totale 12.931
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Nome #
Distribution theory for hierarchical processes 423
Partially exchangeable stochastic block models for (node-colored) multilayer networks 409
Are Gibbs-type priors the most natural generalization of the Dirichlet process? 409
Survival analysis via hierarchically dependent mixture hazards 344
Latent nested nonparametric priors (with discussion) 330
Bayesian prediction with multiple-samples information 304
On the Pitman-Yor process with spike and slab base measure 295
Bayesian nonparametric inference beyond the Gibbs-type framework 289
Approximation of Bayesian models for time-to-event data 288
The Pitman-Yor multinomial process for mixture modelling 284
Comment on article by Page and Quintana 282
A Bayesian Nonparametric approach for comparing clustering structures in EST libraries 257
BNPdensity: Ferguson-Klass type algorithm for posterior normalized random measures 256
A moment-matching Ferguson & Klass algortihm 252
Bayesian nonparametrics 245
Discussion on the paper by Caron and Fox [Sparse graphs using exchangeable random measures/ Francois Caron and Emily Fox] 240
A Wasserstein Index of Dependence for Random Measures 237
Measuring dependence in the Wasserstein distance for Bayesian nonparametric models 235
On time Gibbs-type random probability measures 234
Asymptotic behavior of the number of distinct values in a sample from the geometric stick-breaking process 227
Model selection for maternal hypertensive disorders with symmetric hierarchical Dirichlet processes 222
A Bayesian nonparametric approach to modeling market share dynamics 221
An asymptotic analysis of a class of discrete nonparametric priors 217
A new estimator of the discovery probability 217
Asymptotics for a Bayesian nonparametric estimator of species variety 216
On the stick-breaking representation for homogeneous NRMIs 216
Density estimation via hierarchies of nonparametric priors 213
A sensitivity analysis for Bayesian nonparametric density estimators 211
A bayesian nonparametric approach to ecological risk assessment 207
A unified approach to hierarchical random measures 205
Alcune considerazioni sulle elezioni presidenziali messicane del 2006 202
A Bayesian nonparametric method for prediction in EST analysis 199
On some distributional properties of hierarchical processes 197
A note on the simulation of Levy processes with a view towards applications 196
A note on the problem of heaps 196
A note on "Bayesian nonparametric estimators derived from conditional Gibbs structures" 194
Stochastic approximations to the Pitman-Yor process 194
Nonparametric priors with full-range borrowing of information 191
Random probability measures derived from increasing additive processes and their application to Bayesian statistics. 190
A conversation with Eugenio Regazzini 189
On the truncation error of a superposed gamma process 188
Invited discussion to "Giordano, R., Liu, R., Jordan, M.I., Broderick, T. Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics (with Discussion). Bayesian Analysis. 2023;18(1):287" 187
Correction to “A New Estimator of the Discovery Probability” 187
A Bayesian nonparametric model for combining data from different experiments 185
Bayesian model comparison based on Wasserstein distances 181
Bayesian nonparametric density estimation in ecotoxicology 180
Two tales about Bayesian nonparametric modeling 179
Discussion on the paper by Gerber and Chopin [Sequential quasi Monte Carlo / Mathieu Gerber and Nicolas Chopin] 179
On the dependence structure in Bayesian nonparametric priors 179
Sampling hierarchies of discrete random structures 177
Bayesian nonparametric inference for species variety with a two parameter Poisson Dirichlet process prior 176
Finite-dimensional discrete random structures and Bayesian clustering 174
Discussion of the paper by E. Fong, C. Holmes and S. Walker 172
Bayesian consistency for stationary models 172
Filippo Ascolani, Antonio Lijoi and Igor Prünster's contribution to the Discussion of 'Root and community inference on the latent growth process of a network' by Crane and Xu 171
Flexible clustering via hidden hierarchical Dirichlet priors 168
Bayesian modeling via discrete nonparametric priors 167
Bayesian inference with dependent normalized completely random measures. 165
Robustifying Bayesian nonparametric mixtures for count data 164
Modeling with normalized random measure mixture models. 163
Poisson-driven stationary Markov models 163
Bayesian clustering in nonparametric hierarchical mixture models 162
Bayesian nonparametric estimation of the probability of discovering new species 160
Transport distances on random vectors of measures: recent advances in Bayesian nonparametrics 158
Bayesian nonparametric analysis for a generalized Dirichlet process prior 157
A framework for filtering in hidden Markov models with normalized random measures 157
Asymptotics for posterior hazards 154
Posterior asymptotics for boosted Hierarchical Dirichlet Process mixtures 151
On a class of priors for Bayesian nonparametrics 150
Hierarchical mixture modeling with normalized inverse-Gaussian priors 149
Innovation, growth and aggregate volatility from a Bayesian nonparametric perspective 148
On a normalized random measure with independent increments relevant to Bayesian nonparametric inference 147
Distributions of linear functionals of two parameter Poisson-Dirichlet random measures 147
Discussion of “On simulation and properties of the stable law” by L. Devroye and L. James 144
Conjugacy as a distinctive feature of the Dirichlet process 142
On consistency of nonparametric normal mixtures for bayesian density estimation 141
Exponential functional and means of neutral-to-the-right priors 140
Specification of the base measure of nonparametric priors via random means 139
Models beyond the Dirichlet process 139
Bayesian nonparametric estimators derived from conditional Gibbs structures 139
Data tracking and the understanding of Bayesian consistency 138
Extending Doob's consistency theorem to nonparametric densities 137
On some stationary models: construction and estimation 137
Distributional properties of means of random probability measures 136
Investigating nonparametric priors with Gibbs structure 135
On the stick-breaking representation of normalized inverse Gaussian priors 134
On the posterior distribution of classes of random means 132
Posterior analysis for normalized random measures with independent increments 131
Posterior analysis for some classes of nonparametric models 131
On a class of random probability measures with general predictive structure 130
Large sample properties of Gibbs-type priors 129
Exchangeable Hoeffding-decomposition over finite sets: a characterization and counterexamples 128
On some issues related to species sampling problems 128
On rates of convergence for posterior distributions in infinite-dimensional models 127
On consistency of Gibbs-type priors 126
Controlling the reinforcement in Bayesian nonparametric mixture models 126
BNPdensity: Bayesian nonparametric mixture modelling in R 126
On the Asymptotic Behaviour of Random Cumulative Hazards 124
Conditional formulae for Gibbs-type exchangeable random partitions 124
Misure di probabilità aleatorie derivate da processi additivi crescenti e loro applicazione alla statistica bayesiana 123
Totale 19.036
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Categoria #
all - tutte 79.171
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 79.171
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/20221.287 40 212 20 8 55 42 57 184 68 157 228 216
2022/20232.949 220 204 114 327 192 192 11 165 1.307 77 72 68
2023/20241.572 84 68 105 32 132 153 171 216 120 96 101 294
2024/20252.041 77 31 98 97 102 89 130 142 708 214 203 150
2025/20268.566 449 821 571 552 544 346 929 861 2.123 1.012 249 109
2026/2027192 192 0 0 0 0 0 0 0 0 0 0 0
Totale 20.771