5
H index
5
i10 index
94
Citations
Fulvia Pennoni : Citation Profile
Università degli Studi di Milano-Bicocca | RESEARCH PRODUCTION: 14 Articles 7 Papers RESEARCH ACTIVITY:
MORE DETAILS IN: ABOUT THIS REPORT:
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16 years (2006 - 2022). Relations with other researchers
Works with: Authors registered in RePEc who have co-authored more than one work in the last five years with Fulvia Pennoni. | Is cited by:
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Main data
Where Fulvia Pennoni has published?
| Journals with more than one article published | # docs |
|---|---|
| Statistical Methods & Applications | 2 |
| TEST: An Official Journal of the Spanish Society of Statistics and Operations Research | 2 |
| Journal of Educational and Behavioral Statistics | 2 |
| Working Papers Series with more than one paper published | # docs |
|---|---|
| MPRA Paper / University Library of Munich, Germany | 7 |
Recent works citing Fulvia Pennoni (2022 and 2021)
| Year | Title of citing document |
|---|---|
| 2021 | Bayesian 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. Full description at Econpapers || Download paper |
| 2022 | A 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. Full description at Econpapers || Download paper |
| 2021 | Hierarchical 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. Full description at Econpapers || Download paper |
| 2022 | Model-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. Full description at Econpapers || Download paper |
| 2022 | A 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. Full description at Econpapers || Download paper |
| 2022 | A 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. Full description at Econpapers || Download paper |
| 2022 | NEETs 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. Full description at Econpapers || Download paper |
| 2021 | Multivariate 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. Full description at Econpapers || Download paper |
| 2021 | Dimension 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. Full description at Econpapers || Download paper |
| 2022 | Understanding 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. Full description at Econpapers || Download paper |
Works by Fulvia Pennoni:
| Year | Title | Type | Cited |
|---|---|---|---|
| 2007 | A Class of Latent Markov Models for Capture–Recapture Data Allowing for Time, Heterogeneity, and Behavior Effects In: Biometrics. [Full Text][Citation analysis] | article | 5 |
| 2022 | Exploring the dependencies among main cryptocurrency log?returns: A hidden Markov model In: Economic Notes. [Full Text][Citation analysis] | article | 0 |
| 2020 | Exploring the dependencies among main cryptocurrency log-returns: A hidden Markov model.(2020) In: MPRA Paper. [Full Text][Citation analysis] This paper has another version. Agregated cites: 0 | paper | |
| 2007 | A latent Markov model for detecting patterns of criminal activity In: Journal of the Royal Statistical Society Series A. [Full Text][Citation analysis] | article | 13 |
| 2007 | On the approximation of the quadratic exponential distribution in a latent variable context In: Biometrika. [Full Text][Citation analysis] | article | 1 |
| 2007 | Comparative Analysis of Alcohol Control Policies in 30 Countries In: PLOS Medicine. [Full Text][Citation analysis] | article | 12 |
| 2021 | Risk 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. [Full Text][Citation analysis] | article | 0 |
| 2006 | The 2005 European e-Business Readiness Index In: MPRA Paper. [Full Text][Citation analysis] | paper | 2 |
| 2012 | Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates In: MPRA Paper. [Full Text][Citation analysis] | paper | 22 |
| 2014 | Latent 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. [Full Text][Citation analysis] This paper has another version. Agregated cites: 22 | article | |
| 2015 | Causal latent Markov model for the comparison of multiple treatments in observational longitudinal studies In: MPRA Paper. [Full Text][Citation analysis] | paper | 4 |
| 2016 | Causal Latent Markov Model for the Comparison of Multiple Treatments in Observational Longitudinal Studies.(2016) In: Journal of Educational and Behavioral Statistics. [Full Text][Citation analysis] This paper has another version. Agregated cites: 4 | article | |
| 2016 | Latent Markov and growth mixture models for ordinal individual responses with covariates: a comparison In: MPRA Paper. [Full Text][Citation analysis] | paper | 3 |
| 2017 | The influence of parental divorce, parental temporary separation and parental relationship quality on children’s school readiness In: MPRA Paper. [Full Text][Citation analysis] | paper | 0 |
| 2018 | A latent class analysis towards stability and changes in breadwinning patterns among coupled households In: MPRA Paper. [Full Text][Citation analysis] | paper | 0 |
| 2019 | A latent class analysis towards stability and changes in breadwinning patterns among coupled households.(2019) In: Dependence Modeling. [Full Text][Citation analysis] This paper has another version. Agregated cites: 0 | article | |
| 2011 | Assessment of School Performance Through a Multilevel Latent Markov Rasch Model In: Journal of Educational and Behavioral Statistics. [Full Text][Citation analysis] | article | 14 |
| 2019 | Comment on: The class of CUB models: statistical foundations, inferential issues and empirical evidence In: Statistical Methods & Applications. [Full Text][Citation analysis] | article | 0 |
| 2020 | Analysing the course of public trust via hidden Markov models: a focus on the Polish society In: Statistical Methods & Applications. [Full Text][Citation analysis] | article | 0 |
| 2014 | Rejoinder 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. [Full Text][Citation analysis] | article | 17 |
| 2020 | The Italian market of sparkling wines: Latent variable models for brand positioning, customer loyalty, and transitions across brands preferences In: Agribusiness. [Full Text][Citation analysis] | article | 1 |
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