IRIS
PRUENSTER, IGOR
 Distribuzione geografica
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Continente #
NA - Nord America 8.831
EU - Europa 8.027
AS - Asia 4.115
SA - Sud America 504
Continente sconosciuto - Info sul continente non disponibili 406
AF - Africa 117
OC - Oceania 12
Totale 22.012
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Nazione #
US - Stati Uniti d'America 8.432
RU - Federazione Russa 1.980
IT - Italia 1.465
CN - Cina 1.239
SG - Singapore 1.085
IE - Irlanda 991
FI - Finlandia 905
DE - Germania 713
GB - Regno Unito 557
UA - Ucraina 546
VN - Vietnam 500
TR - Turchia 378
BR - Brasile 373
CA - Canada 291
HK - Hong Kong 265
FR - Francia 263
SE - Svezia 160
IN - India 113
BD - Bangladesh 92
BG - Bulgaria 90
KR - Corea 75
MX - Messico 64
PL - Polonia 56
IL - Israele 54
ZA - Sudafrica 52
IQ - Iraq 47
CZ - Repubblica Ceca 46
NL - Olanda 43
AR - Argentina 38
ES - Italia 32
CH - Svizzera 31
JP - Giappone 30
PK - Pakistan 29
ID - Indonesia 25
AT - Austria 24
BE - Belgio 23
SA - Arabia Saudita 22
CL - Cile 20
LT - Lituania 20
MA - Marocco 19
CO - Colombia 18
PH - Filippine 16
AZ - Azerbaigian 14
EC - Ecuador 14
RO - Romania 14
TH - Thailandia 14
VE - Venezuela 14
KE - Kenya 11
LV - Lettonia 11
NP - Nepal 11
IR - Iran 10
MY - Malesia 10
PT - Portogallo 10
PY - Paraguay 10
AE - Emirati Arabi Uniti 9
CR - Costa Rica 9
AU - Australia 8
HN - Honduras 8
JO - Giordania 8
KG - Kirghizistan 8
PE - Perù 8
DZ - Algeria 7
LB - Libano 7
SI - Slovenia 7
UZ - Uzbekistan 7
AM - Armenia 6
EG - Egitto 6
JM - Giamaica 6
EE - Estonia 5
GT - Guatemala 5
KZ - Kazakistan 5
LK - Sri Lanka 5
UY - Uruguay 5
AL - Albania 4
BA - Bosnia-Erzegovina 4
DK - Danimarca 4
GR - Grecia 4
OM - Oman 4
SN - Senegal 4
BH - Bahrain 3
BO - Bolivia 3
BY - Bielorussia 3
CG - Congo 3
CY - Cipro 3
DO - Repubblica Dominicana 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
TT - Trinidad e Tobago 3
BN - Brunei Darussalam 2
ET - Etiopia 2
GH - Ghana 2
HR - Croazia 2
KH - Cambogia 2
Totale 21.576
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Città #
Ashburn 1.059
Dublin 988
San Jose 937
Helsinki 804
Dallas 725
Ann Arbor 595
Chandler 581
Singapore 547
Milan 527
Frankfurt am Main 458
Moscow 449
Hefei 448
Jacksonville 447
Council Bluffs 295
Hong Kong 257
Beijing 244
Izmir 225
Toronto 208
Dearborn 198
New York 169
Southend 168
Salerno 161
Boardman 132
Dong Ket 132
Houston 124
Los Angeles 124
Columbus 118
Wilmington 118
Edison 117
Ho Chi Minh City 116
Boston 110
Lauterbourg 102
Lawrence 102
Modena 96
Mountain View 88
Hanoi 85
Rome 83
Seoul 74
Redwood City 62
Chicago 57
London 57
The Dalles 54
Fairfield 52
Woodbridge 50
São Paulo 49
Tel Aviv 46
Johannesburg 44
Warsaw 37
Buffalo 36
Santa Clara 35
Munich 34
Phoenix 34
Nanjing 30
Fremont 29
Mexico City 29
Nuremberg 29
Orem 29
Seattle 29
Atlanta 24
Kocaeli 24
Kunming 24
Montreal 24
Brussels 23
Denver 23
Mumbai 23
Tokyo 23
Baghdad 21
Chennai 19
Fuzhou 19
Norwalk 19
Amsterdam 18
Da Nang 17
Nanchang 17
Stockholm 17
Brno 16
Miano 16
Vienna 16
Brooklyn 15
Ladispoli 15
Secaucus 15
Turku 15
Haiphong 14
Jinan 14
Santiago 14
Jakarta 13
San Francisco 13
Turin 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
Naples 11
Totale 13.706
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Nome #
Distribution theory for hierarchical processes 432
Partially exchangeable stochastic block models for (node-colored) multilayer networks 422
Are Gibbs-type priors the most natural generalization of the Dirichlet process? 420
Survival analysis via hierarchically dependent mixture hazards 354
Latent nested nonparametric priors (with discussion) 336
Bayesian prediction with multiple-samples information 314
On the Pitman-Yor process with spike and slab base measure 307
Bayesian nonparametric inference beyond the Gibbs-type framework 300
The Pitman-Yor multinomial process for mixture modelling 300
Approximation of Bayesian models for time-to-event data 296
Comment on article by Page and Quintana 295
BNPdensity: Ferguson-Klass type algorithm for posterior normalized random measures 268
A Bayesian Nonparametric approach for comparing clustering structures in EST libraries 266
A moment-matching Ferguson & Klass algortihm 264
Bayesian nonparametrics 261
Discussion on the paper by Caron and Fox [Sparse graphs using exchangeable random measures/ Francois Caron and Emily Fox] 255
A Wasserstein Index of Dependence for Random Measures 253
Measuring dependence in the Wasserstein distance for Bayesian nonparametric models 248
Model selection for maternal hypertensive disorders with symmetric hierarchical Dirichlet processes 245
On time Gibbs-type random probability measures 241
Asymptotic behavior of the number of distinct values in a sample from the geometric stick-breaking process 239
A Bayesian nonparametric approach to modeling market share dynamics 232
Asymptotics for a Bayesian nonparametric estimator of species variety 229
A new estimator of the discovery probability 227
An asymptotic analysis of a class of discrete nonparametric priors 226
Density estimation via hierarchies of nonparametric priors 225
A sensitivity analysis for Bayesian nonparametric density estimators 223
On the stick-breaking representation for homogeneous NRMIs 222
A bayesian nonparametric approach to ecological risk assessment 217
A unified approach to hierarchical random measures 214
Alcune considerazioni sulle elezioni presidenziali messicane del 2006 210
A Bayesian nonparametric method for prediction in EST analysis 210
Nonparametric priors with full-range borrowing of information 209
On some distributional properties of hierarchical processes 208
Random probability measures derived from increasing additive processes and their application to Bayesian statistics. 207
A note on the simulation of Levy processes with a view towards applications 204
A note on the problem of heaps 204
A note on "Bayesian nonparametric estimators derived from conditional Gibbs structures" 204
Stochastic approximations to the Pitman-Yor process 203
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" 201
A conversation with Eugenio Regazzini 201
Correction to “A New Estimator of the Discovery Probability” 198
On the truncation error of a superposed gamma process 196
A Bayesian nonparametric model for combining data from different experiments 194
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 191
Sampling hierarchies of discrete random structures 191
Discussion on the paper by Gerber and Chopin [Sequential quasi Monte Carlo / Mathieu Gerber and Nicolas Chopin] 190
Bayesian model comparison based on Wasserstein distances 188
Bayesian nonparametric density estimation in ecotoxicology 188
Bayesian nonparametric inference for species variety with a two parameter Poisson Dirichlet process prior 187
Two tales about Bayesian nonparametric modeling 187
On the dependence structure in Bayesian nonparametric priors 187
Discussion of the paper by E. Fong, C. Holmes and S. Walker 185
Finite-dimensional discrete random structures and Bayesian clustering 184
Bayesian consistency for stationary models 183
Flexible clustering via hidden hierarchical Dirichlet priors 182
Bayesian modeling via discrete nonparametric priors 180
Poisson-driven stationary Markov models 175
Bayesian inference with dependent normalized completely random measures. 174
Robustifying Bayesian nonparametric mixtures for count data 174
Bayesian nonparametric analysis for a generalized Dirichlet process prior 173
Bayesian clustering in nonparametric hierarchical mixture models 172
Modeling with normalized random measure mixture models. 171
Bayesian nonparametric estimation of the probability of discovering new species 168
Transport distances on random vectors of measures: recent advances in Bayesian nonparametrics 168
A framework for filtering in hidden Markov models with normalized random measures 167
Posterior asymptotics for boosted Hierarchical Dirichlet Process mixtures 166
Asymptotics for posterior hazards 161
Innovation, growth and aggregate volatility from a Bayesian nonparametric perspective 159
Hierarchical mixture modeling with normalized inverse-Gaussian priors 158
On a normalized random measure with independent increments relevant to Bayesian nonparametric inference 157
On a class of priors for Bayesian nonparametrics 157
Distributions of linear functionals of two parameter Poisson-Dirichlet random measures 156
Specification of the base measure of nonparametric priors via random means 154
Models beyond the Dirichlet process 154
Discussion of “On simulation and properties of the stable law” by L. Devroye and L. James 151
On consistency of nonparametric normal mixtures for bayesian density estimation 150
Distributional properties of means of random probability measures 149
Bayesian nonparametric estimators derived from conditional Gibbs structures 149
Conjugacy as a distinctive feature of the Dirichlet process 149
Extending Doob's consistency theorem to nonparametric densities 146
Exponential functional and means of neutral-to-the-right priors 146
Data tracking and the understanding of Bayesian consistency 145
On some stationary models: construction and estimation 145
On the stick-breaking representation of normalized inverse Gaussian priors 143
Investigating nonparametric priors with Gibbs structure 142
On the posterior distribution of classes of random means 140
Posterior analysis for normalized random measures with independent increments 139
On a class of random probability measures with general predictive structure 139
Large sample properties of Gibbs-type priors 137
Posterior analysis for some classes of nonparametric models 137
BNPdensity: Bayesian nonparametric mixture modelling in R 137
Exchangeable Hoeffding-decomposition over finite sets: a characterization and counterexamples 136
On some issues related to species sampling problems 136
On rates of convergence for posterior distributions in infinite-dimensional models 136
Misure di probabilità aleatorie derivate da processi additivi crescenti e loro applicazione alla statistica bayesiana 135
Controlling the reinforcement in Bayesian nonparametric mixture models 135
Conditional formulae for Gibbs-type exchangeable random partitions 134
On consistency of Gibbs-type priors 134
On the Asymptotic Behaviour of Random Cumulative Hazards 132
Totale 20.089
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Categoria #
all - tutte 85.505
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 85.505
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/20221.015 0 0 0 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
2026/20271.433 224 320 354 535 0 0 0 0 0 0 0 0
Totale 22.012