LUPPARELLI, MONIA
 Distribuzione geografica
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Continente #
NA - Nord America 1.837
EU - Europa 1.311
AS - Asia 301
AF - Africa 19
OC - Oceania 10
Totale 3.478
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Nazione #
US - Stati Uniti d'America 1.833
RU - Federazione Russa 486
PL - Polonia 274
IT - Italia 256
IE - Irlanda 123
SG - Singapore 96
SE - Svezia 84
CN - Cina 71
HK - Hong Kong 57
JO - Giordania 37
CI - Costa d'Avorio 19
DE - Germania 17
IN - India 15
UA - Ucraina 14
FI - Finlandia 13
FR - Francia 12
NL - Olanda 11
AU - Australia 10
GB - Regno Unito 10
ID - Indonesia 6
CA - Canada 4
IR - Iran 4
JP - Giappone 4
VN - Vietnam 4
TR - Turchia 3
AT - Austria 2
CH - Svizzera 2
ES - Italia 2
GR - Grecia 2
KR - Corea 2
NO - Norvegia 2
CY - Cipro 1
PH - Filippine 1
RO - Romania 1
Totale 3.478
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Città #
Santa Clara 786
Warsaw 274
Fairfield 156
Dublin 123
Chandler 85
Singapore 80
Woodbridge 69
Ashburn 60
Houston 60
Wilmington 49
Florence 48
Seattle 48
Cambridge 46
Princeton 37
Altamura 34
Boston 34
Milan 33
Lawrence 25
Moscow 25
Hong Kong 22
Jacksonville 20
Abidjan 18
Ann Arbor 18
Beijing 17
Shanghai 16
Mumbai 15
San Diego 13
Bologna 12
Salerno 12
Medford 11
Andover 9
Nanning 9
Rome 9
Boardman 8
Helsinki 7
Shenzhen 7
Amsterdam 6
Cologne 6
Falls Church 6
Hillsboro 6
Sesto Fiorentino 6
Cagliari 5
Central District 5
Los Angeles 5
Sydney 5
Buffalo 4
Dong Ket 4
Jakarta 4
Marseille 4
Parma 4
Redwood City 4
Andria 3
Athens 3
Canberra 3
Izmir 3
New York 3
San Jose 3
Sangiano 3
Toronto 3
Auburn Hills 2
Barcelona 2
Bern 2
Brisbane 2
Castelfiorentino 2
Chicago 2
Fremont 2
Goleta 2
Guangzhou 2
Lavagna 2
London 2
North Bergen 2
Oslo 2
Perugia 2
Phoenix 2
Pisa 2
Redmond 2
Savona 2
Tehran 2
Urayasu 2
West Jordan 2
Bagno a Ripoli 1
Bethesda 1
Bochum 1
Cantagallo 1
Casnate Con Bernate 1
Groningen 1
Jesolo 1
Karlstetten 1
Lappeenranta 1
Lyon 1
Malang 1
Montréal 1
Mountain View 1
Nanjing 1
Nicosia 1
Norwalk 1
Padova 1
Podenzano 1
Prescot 1
Sabaudia 1
Totale 2.455
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Nome #
Chain graph models of multivariate regression type for categorical data 254
Log-mean linear regression models for binary responses with an application to multimorbidity. 172
Log-mean linear models for binary data 166
Conditional and marginal relative risk parameters for a class of recursive regression graph models 140
Probability based independence sampler for Bayesian quantitative learning in graphical log-linear marginal models 111
Bayesian model comparison based on expected posterior priors for discrete decomposable graphical models 109
Parameterizations and fitting of bi-directed graph models to categorical data 107
Focused information criterion for capture re-capture models for closed populations 106
Pairwise Likelihood Inference for Nested Hidden Markov Chain Models for Multilevel Longitudinal Data 102
LATENT MARKOV MODEL FOR LONGITUDINAL BINARY DATA: AN APPLICATION TO THE PERFORMANCE EVALUATION OF NURSING HOMES 102
Parameterization and fitting of a class of discrete graphical models 102
Graphical models of marginal independence for categorical variables 89
Graphical models of marginal independence for categorical variables 89
An overview of ARMA-like models for count and binary data 86
Causal inference for binary non-independent outcomes 85
Stationarity of a general class of observation driven models for discrete valued processes 84
Joint and marginal causal effects for binary non-independent outcomes 82
Profile networks for precision medicine 79
Path analysis in Ising models: an application to cyber-security risk assessment 76
Expected posterior priors for model comparison in a class of discrete graphical models 73
Likelihood inference for the latent Markov Rash model 72
Comment: Graphical Marginal Log-Linear Models—A Bayesian Perspective 72
Bayesian stochastic search for Ising chain graph models 71
Comments on: Sequences of regressions and their independencies 67
Bayesian estimation of graphical log-inear marginal models 67
Dynamic network models with time-varying nodes 66
Latent Markov models for evaluating nursing home performances 65
Marginal parameterizations of discrete models defined by a set of conditional independencies. J. of Multivariate Analysis, doi:10.1016/j.jmva.2010.07.001. 64
Binary models of marginal independence: a comparison of different approaches 64
Natural direct and indirect relative risk for mediation analysis 63
Log-Mean Linear Parameterizations for Smooth Independence Models 61
Observation-driven models for storm counts 60
Multi-level stochastic block models for multiplex networks 59
Log-mean linear models for causal inference 52
Parameterization and fitting of discrete covariance graph models 49
Observation-driven models for discrete-valued time series 47
A Bayesian Multiple Ising Model 46
The multilevel latent Markov model 44
Log-mean linear regression models for assessing the effect of HIV-infection on multimorbidity in a case-control study 43
Multilevel latent Markov models: a comparison of different approaches 42
Statistical Models and Methods for Data Science 40
On the comparison of regression coefficients across multiple logistic models with binary predictors 40
Pairwise likelihood inference for multilevel latent Markov models 40
Path-dependent parametric decompositions in Ising models 38
Totale 3.546
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Categoria #
all - tutte 9.408
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 9.408
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/2020267 0 0 0 0 47 42 34 43 34 27 34 6
2020/2021239 20 21 15 30 16 22 11 19 22 35 19 9
2021/2022231 3 35 20 1 2 4 12 18 27 5 25 79
2022/2023525 63 82 38 11 30 99 62 22 96 1 17 4
2023/2024268 11 33 55 34 19 7 21 46 4 18 7 13
2024/20251.599 111 179 124 279 906 0 0 0 0 0 0 0
Totale 3.546