Fulvia Pennoni : Citation Profile


Are you Fulvia Pennoni?

Università degli Studi di Milano-Bicocca

5

H index

5

i10 index

94

Citations

RESEARCH PRODUCTION:

14

Articles

7

Papers

RESEARCH ACTIVITY:

   16 years (2006 - 2022). See details.
   Cites by year: 5
   Journals where Fulvia Pennoni has often published
   Relations with other researchers
   Recent citing documents: 10.    Total self citations: 6 (6 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/ppe590
   Updated: 2022-08-13    RAS profile: 2022-03-31    
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Relations with other researchers


Works with:

Bartolucci, Francesco (3)

Authors registered in RePEc who have co-authored more than one work in the last five years with Fulvia Pennoni.

Is cited by:

Farcomeni, Alessio (20)

Bartolucci, Francesco (12)

Zelli, Roberto (9)

Pittau, M. Grazia (8)

Tullio, Federico (4)

Lupparelli, Monia (2)

Zanfei, Antonello (1)

De Angelis, Luca (1)

Biagetti, Marco (1)

Di Meglio, Gisela (1)

d'Hombres, Béatrice (1)

Cites to:

Bartolucci, Francesco (21)

Farcomeni, Alessio (8)

Bacci, Silvia (4)

Vittadini, Giorgio (4)

Giudici, Paolo (3)

Pandolfi, Silvia (3)

Roubaud, David (3)

Imbens, Guido (2)

Das, Debojyoti (2)

Scarpa, Riccardo (2)

Fernandez Bariviera, Aurelio (2)

Main data


Where Fulvia Pennoni has published?


Journals with more than one article published# docs
Statistical Methods & Applications2
TEST: An Official Journal of the Spanish Society of Statistics and Operations Research2
Journal of Educational and Behavioral Statistics2

Working Papers Series with more than one paper published# docs
MPRA Paper / University Library of Munich, Germany7

Recent works citing Fulvia Pennoni (2022 and 2021)


YearTitle of citing document
2021Bayesian latent multi?state modeling for nonequidistant longitudinal electronic health records. (2021). Buckeridge, David L ; Verma, Aman ; Stephens, David A ; Luo, YU. In: Biometrics. RePEc:bla:biomet:v:77:y:2021:i:1:p:78-90.

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2022A hidden Markov space–time model for mapping the dynamics of global access to food. (2022). Farcomeni, Alessio ; Bartolucci, Francesco. In: Journal of the Royal Statistical Society Series A. RePEc:bla:jorssa:v:185:y:2022:i:1:p:246-266.

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2021Hierarchical Markov-switching models for multivariate integer-valued time-series. (2021). di Mari, Roberto ; Catania, Leopoldo. In: Journal of Econometrics. RePEc:eee:econom:v:221:y:2021:i:1:p:118-137.

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2022Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models. (2022). Doretti, Marco ; Montanari, Giorgio Eduardo ; Marino, Maria Francesca. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:16:y:2022:i:2:d:10.1007_s11634-021-00446-7.

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2022A new three-step method for using inverse propensity weighting with latent class analysis. (2022). Pauws, S ; Clouth, F J ; Vermunt, J K ; Mols, F. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:16:y:2022:i:2:d:10.1007_s11634-021-00456-5.

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2022A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error. (2022). Maruotti, Antonello ; Mari, Roberto. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:16:y:2022:i:2:d:10.1007_s11634-021-00473-4.

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2022NEETs and Youth Unemployment: A Longitudinal Comparison Across European Countries. (2022). Bal-Domaska, Beata ; Pennoni, Fulvia. In: Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement. RePEc:spr:soinre:v:162:y:2022:i:2:d:10.1007_s11205-021-02813-5.

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2021Multivariate hidden Markov regression models: random covariates and heavy-tailed distributions. (2021). Maruotti, Antonello ; Ingrassia, Salvatore ; Punzo, Antonio. In: Statistical Papers. RePEc:spr:stpapr:v:62:y:2021:i:3:d:10.1007_s00362-019-01146-3.

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2021Dimension reduction for longitudinal multivariate data by optimizing class separation of projected latent Markov models. (2021). Farcomeni, Alessio ; Viviani, Sara ; Ranalli, Monia. In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research. RePEc:spr:testjl:v:30:y:2021:i:2:d:10.1007_s11749-020-00727-x.

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2022Understanding consumer attitudes towards ecolabeled food products: A latent class analysis regarding their purchasing motivations. (2022). Diazcaro, Carlos ; Mesias, Francisco J ; Elghannam, Ahmed ; Crespocebada, Eva ; Grymshi, Desjana. In: Agribusiness. RePEc:wly:agribz:v:38:y:2022:i:1:p:93-107.

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Works by Fulvia Pennoni:


YearTitleTypeCited
2007A Class of Latent Markov Models for Capture–Recapture Data Allowing for Time, Heterogeneity, and Behavior Effects In: Biometrics.
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article5
2022Exploring the dependencies among main cryptocurrency log?returns: A hidden Markov model In: Economic Notes.
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article0
2020Exploring the dependencies among main cryptocurrency log-returns: A hidden Markov model.(2020) In: MPRA Paper.
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This paper has another version. Agregated cites: 0
paper
2007A latent Markov model for detecting patterns of criminal activity In: Journal of the Royal Statistical Society Series A.
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article13
2007On the approximation of the quadratic exponential distribution in a latent variable context In: Biometrika.
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article1
2007Comparative Analysis of Alcohol Control Policies in 30 Countries In: PLOS Medicine.
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article12
2021Risk of adverse events in gastrointestinal endoscopy: Zero-inflated Poisson regression mixture model for count data and multinomial logit model for the type of event In: PLOS ONE.
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article0
2006The 2005 European e-Business Readiness Index In: MPRA Paper.
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paper2
2012Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates In: MPRA Paper.
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paper22
2014Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates.(2014) In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
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This paper has another version. Agregated cites: 22
article
2015Causal latent Markov model for the comparison of multiple treatments in observational longitudinal studies In: MPRA Paper.
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paper4
2016Causal Latent Markov Model for the Comparison of Multiple Treatments in Observational Longitudinal Studies.(2016) In: Journal of Educational and Behavioral Statistics.
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This paper has another version. Agregated cites: 4
article
2016Latent Markov and growth mixture models for ordinal individual responses with covariates: a comparison In: MPRA Paper.
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paper3
2017The influence of parental divorce, parental temporary separation and parental relationship quality on children’s school readiness In: MPRA Paper.
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paper0
2018A latent class analysis towards stability and changes in breadwinning patterns among coupled households In: MPRA Paper.
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paper0
2019A latent class analysis towards stability and changes in breadwinning patterns among coupled households.(2019) In: Dependence Modeling.
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This paper has another version. Agregated cites: 0
article
2011Assessment of School Performance Through a Multilevel Latent Markov Rasch Model In: Journal of Educational and Behavioral Statistics.
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article14
2019Comment on: The class of CUB models: statistical foundations, inferential issues and empirical evidence In: Statistical Methods & Applications.
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article0
2020Analysing the course of public trust via hidden Markov models: a focus on the Polish society In: Statistical Methods & Applications.
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article0
2014Rejoinder on: Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
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article17
2020The Italian market of sparkling wines: Latent variable models for brand positioning, customer loyalty, and transitions across brands preferences In: Agribusiness.
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article1

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