IRIS
PRUENSTER, IGOR
 Distribuzione geografica
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Continente #
NA - Nord America 4.206
EU - Europa 4.129
AS - Asia 1.579
AF - Africa 12
SA - Sud America 12
OC - Oceania 8
Continente sconosciuto - Info sul continente non disponibili 4
Totale 9.950
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Nazione #
US - Stati Uniti d'America 3.982
IE - Irlanda 982
IT - Italia 981
DE - Germania 572
CN - Cina 550
UA - Ucraina 538
GB - Regno Unito 454
TR - Turchia 359
SG - Singapore 292
CA - Canada 212
SE - Svezia 147
FI - Finlandia 140
VN - Vietnam 139
HK - Hong Kong 132
BG - Bulgaria 89
CZ - Repubblica Ceca 44
FR - Francia 43
IN - India 24
CH - Svizzera 21
BE - Belgio 19
NL - Olanda 16
RU - Federazione Russa 12
LV - Lettonia 11
PK - Pakistan 9
RO - Romania 9
AT - Austria 8
AZ - Azerbaigian 8
IR - Iran 8
MX - Messico 8
ES - Italia 7
PL - Polonia 7
AU - Australia 6
CL - Cile 6
JP - Giappone 5
KG - Kirghizistan 5
AM - Armenia 4
KR - Corea 4
MA - Marocco 4
PH - Filippine 4
PT - Portogallo 4
TH - Thailandia 4
AE - Emirati Arabi Uniti 3
AR - Argentina 3
EU - Europa 3
GE - Georgia 3
GR - Grecia 3
ID - Indonesia 3
IL - Israele 3
LK - Sri Lanka 3
MY - Malesia 3
BY - Bielorussia 2
CY - Cipro 2
DK - Danimarca 2
EE - Estonia 2
EG - Egitto 2
ET - Etiopia 2
HR - Croazia 2
HU - Ungheria 2
KE - Kenya 2
KZ - Kazakistan 2
LU - Lussemburgo 2
NZ - Nuova Zelanda 2
PA - Panama 2
SA - Arabia Saudita 2
SI - Slovenia 2
SK - Slovacchia (Repubblica Slovacca) 2
TW - Taiwan 2
UZ - Uzbekistan 2
ZA - Sudafrica 2
A2 - ???statistics.table.value.countryCode.A2??? 1
BA - Bosnia-Erzegovina 1
BR - Brasile 1
CR - Costa Rica 1
EC - Ecuador 1
JM - Giamaica 1
JO - Giordania 1
KH - Cambogia 1
LA - Repubblica Popolare Democratica del Laos 1
LT - Lituania 1
MC - Monaco 1
MO - Macao, regione amministrativa speciale della Cina 1
MT - Malta 1
NO - Norvegia 1
PE - Perù 1
RS - Serbia 1
Totale 9.950
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Città #
Dublin 980
Ann Arbor 595
Chandler 581
Jacksonville 446
Frankfurt am Main 407
Milan 320
Izmir 225
Dearborn 198
Toronto 193
Singapore 178
Southend 168
Salerno 160
Dong Ket 132
Hong Kong 127
Boardman 124
Wilmington 117
Houston 110
Beijing 108
Boston 101
Lawrence 101
Modena 96
New York 96
Mountain View 88
Ashburn 86
Redwood City 62
Rome 60
Helsinki 57
Fairfield 52
Woodbridge 50
London 35
Nanjing 30
Fremont 29
Los Angeles 29
Hefei 28
Kocaeli 24
Kunming 24
Seattle 23
Brussels 19
Fuzhou 19
Norwalk 18
Nanchang 17
Brno 16
Mumbai 16
Ladispoli 15
Jinan 13
Pavia 12
Auburn Hills 11
Genova 11
Moncalieri 11
Ottawa 11
Riga 11
Irvine 9
Torino 9
Aversa 8
Baku 8
Cambridge 8
Cernusco Sul Naviglio 8
Guangzhou 8
Islamabad 8
Bonndorf 7
Falls Church 7
Vienna 7
Bari 6
Boydton 6
Campodarsego 6
Durham 6
Hebei 6
Lappeenranta 6
Padova 6
Putian 6
San Mateo 6
Shenyang 6
Stockholm 6
Wuhan 6
Amsterdam 5
Austin 5
Bishkek 5
Bucharest 5
Changsha 5
College Station 5
Como 5
Palombara Sabina 5
Pittsboro 5
Turin 5
Carouge 4
El Paso 4
Ho Chi Minh City 4
Leawood 4
Meda 4
Québec 4
San Giorgio Di Piano 4
Santa Clara 4
Shanghai 4
Shenzhen 4
Sofia 4
South Bend 4
Tappahannock 4
Udine 4
Verona 4
Warsaw 4
Totale 6.713
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Nome #
Distribution theory for hierarchical processes 285
Are Gibbs-type priors the most natural generalization of the Dirichlet process? 218
Latent nested nonparametric priors (with discussion) 218
Survival analysis via hierarchically dependent mixture hazards 215
Bayesian prediction with multiple-samples information 199
On the Pitman-Yor process with spike and slab base measure 197
Bayesian nonparametric inference beyond the Gibbs-type framework 184
Bayesian nonparametrics 178
Approximation of Bayesian models for time-to-event data 177
Discussion on the paper by Caron and Fox [Sparse graphs using exchangeable random measures/ Francois Caron and Emily Fox] 167
Comment on article by Page and Quintana 163
A Bayesian Nonparametric approach for comparing clustering structures in EST libraries 157
On the stick-breaking representation for homogeneous NRMIs 145
The Pitman-Yor multinomial process for mixture modelling 139
On time Gibbs-type random probability measures 134
Density estimation via hierarchies of nonparametric priors 131
On some distributional properties of hierarchical processes 130
BNPdensity: Ferguson-Klass type algorithm for posterior normalized random measures 126
Random probability measures derived from increasing additive processes and their application to Bayesian statistics. 122
Bayesian consistency for stationary models 113
A moment-matching Ferguson & Klass algortihm 111
Correction to “A New Estimator of the Discovery Probability” 111
A bayesian nonparametric approach to ecological risk assessment 110
Bayesian nonparametric inference for species variety with a two parameter Poisson Dirichlet process prior 108
Asymptotics for posterior hazards 107
Asymptotics for a Bayesian nonparametric estimator of species variety 106
Sampling hierarchies of discrete random structures 106
Two tales about Bayesian nonparametric modeling 105
Asymptotic behavior of the number of distinct values in a sample from the geometric stick-breaking process 105
Bayesian nonparametric estimation of the probability of discovering new species 104
Bayesian nonparametric density estimation in ecotoxicology 104
Robustifying Bayesian nonparametric mixtures for count data 103
An asymptotic analysis of a class of discrete nonparametric priors 102
Bayesian clustering in nonparametric hierarchical mixture models 101
Bayesian nonparametric analysis for a generalized Dirichlet process prior 101
Modeling with normalized random measure mixture models. 97
A Bayesian nonparametric approach to modeling market share dynamics 96
A new estimator of the discovery probability 96
A Bayesian nonparametric method for prediction in EST analysis 96
Alcune considerazioni sulle elezioni presidenziali messicane del 2006 95
Poisson-driven stationary Markov models 95
Innovation, growth and aggregate volatility from a Bayesian nonparametric perspective 93
A Bayesian nonparametric model for combining data from different experiments 92
A sensitivity analysis for Bayesian nonparametric density estimators 90
On the truncation error of a superposed gamma process 90
A note on the problem of heaps 88
On some stationary models: construction and estimation 88
Bayesian nonparametric estimators derived from conditional Gibbs structures 87
Hierarchical mixture modeling with normalized inverse-Gaussian priors 86
Bayesian inference with dependent normalized completely random measures. 85
Bayesian model comparison based on Wasserstein distances 85
A note on "Bayesian nonparametric estimators derived from conditional Gibbs structures" 84
On a normalized random measure with independent increments relevant to Bayesian nonparametric inference 81
Discussion of “On simulation and properties of the stable law” by L. Devroye and L. James 81
On a class of priors for Bayesian nonparametrics 80
On rates of convergence for posterior distributions in infinite-dimensional models 80
Stochastic approximations to the Pitman-Yor process 79
Discussion on the paper by Gerber and Chopin [Sequential quasi Monte Carlo / Mathieu Gerber and Nicolas Chopin] 79
Conjugacy as a distinctive feature of the Dirichlet process 78
A conversation with Eugenio Regazzini 77
On consistency of Gibbs-type priors 77
On the stick-breaking representation of normalized inverse Gaussian priors 77
Investigating nonparametric priors with Gibbs structure 77
Data tracking and the understanding of Bayesian consistency 76
Distributions of linear functionals of two parameter Poisson-Dirichlet random measures 76
Measuring dependence in the Wasserstein distance for Bayesian nonparametric models 76
Distributional properties of means of random probability measures 75
Exponential functional and means of neutral-to-the-right priors 75
Dependent mixture models: clustering and borrowing information 74
On a class of distributions on the simplex 74
On a class of random probability measures with general predictive structure 74
A note on the simulation of Levy processes with a view towards applications 74
On consistency of nonparametric normal mixtures for bayesian density estimation 74
On the Asymptotic Behaviour of Random Cumulative Hazards 73
Models beyond the Dirichlet process 73
Large sample properties of Gibbs-type priors 73
On Stationary Markov Models: a Poisson-driven approach 72
On some issues related to species sampling problems 72
Extending Doob's consistency theorem to nonparametric densities 72
Misure di probabilità aleatorie derivate da processi additivi crescenti e loro applicazione alla statistica bayesiana 72
Controlling the reinforcement in Bayesian nonparametric mixture models 72
Transport distances on random vectors of measures: recent advances in Bayesian nonparametrics 72
Linear and quadratic functionals of random hazard rates: an asymptotic analysis 71
Posterior analysis for normalized random measures with independent increments 70
Conditional formulae for Gibbs-type exchangeable random partitions 70
Posterior analysis for some classes of nonparametric models 70
On a generalized Chu-Vandermonde identity 68
Distributional results for means of normalized random measures with independent increments 68
On convergence rates for nonparametric posterior distributions 68
Exchangeable random partitions for statistical and economic modelling 67
Exchangeable Hoeffding-decomposition over finite sets: a characterization and counterexamples 66
On the dependence structure in Bayesian nonparametric priors 65
On the posterior distribution of classes of random means 63
Some issues in Bayesian nonparamterics 62
Specification of the base measure of nonparametric priors via random means 61
Normalized random measures driven by increasing additive processes 59
Bayesian nonparametric prediction with multi-sample data 58
A framework for filtering in hidden Markov models with normalized random measures 58
Motor cortex excitability changes following a lesion in the posterior columns of the cervical spinal cord 54
On the inferential implications of decreasing weight structures in mixture models 47
Totale 9.935
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Categoria #
all - tutte 44.650
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 44.650
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20201.163 0 0 0 0 148 238 330 109 157 50 25 106
2020/20211.334 41 126 64 117 127 102 134 25 157 139 113 189
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
2024/2025344 77 31 98 97 41 0 0 0 0 0 0 0
Totale 10.316