Segui
Maria Francesca Marino
Titolo
Citata da
Citata da
Anno
Mixed hidden Markov quantile regression models for longitudinal data with possibly incomplete sequences
MF Marino, N Tzavidis, M Alf˛
Statistical methods in medical research 27 (7), 2231-2246, 2018
542018
Linear quantile regression models for longitudinal experiments: an overview
MF Marino, A Farcomeni
Metron 73 (2), 229-247, 2015
502015
Mycotoxins and flours: Effect of type of crop, organic production, packaging type on the recovery of fungal genus and mycotoxins
C Sacco, R Donato, B Zanella, G Pini, L Pettini, MF Marino, AD Rookmin, ...
International Journal of Food Microbiology 334, 108808, 2020
242020
Semiparametric empirical best prediction for small area estimation of unemployment indicators
MF Marino, MG Ranalli, N Salvati, M Alf˛
The Annals of Applied Statistics 13 (2), 1166-1197, 2019
242019
Dealing with reciprocity in dynamic stochastic block models
F Bartolucci, MF Marino, S Pandolfi
Computational Statistics & Data Analysis 123, 86-100, 2018
202018
M-quantile regression for multivariate longitudinal data with an application to the Millennium Cohort Study
M Alf˛, MF Marino, MG Ranalli, N Salvati, N Tzavidis
Journal of the Royal Statistical Society Series C: Applied Statistics 70 (1á…, 2021
18*2021
Refugees in undeclared employment—a case study in Turkey
F Bruckschen, T Koebe, M Ludolph, MF Marino, T Schmid
Guide to Mobile Data Analytics in Refugee Scenarios: The'Data for Refugeesá…, 2019
132019
Gaussian quadrature approximations in mixed hidden Markov models for longitudinal data: a simulation study
MF Marino, M Alfˇ
Computational statistics & data analysis 94, 193-209, 2016
112016
Latent drop-out based transitions in linear quantile hidden Markov models for longitudinal responses with attrition
MF Marino, M Alfˇ
Advances in Data Analysis and Classification 9 (4), 483-502, 2015
112015
Using finite mixtures of M-quantile regression models to handle unobserved heterogeneity in assessing the effect of meteorology and traffic on air quality
S Del Sarto, MF Marino, MG Ranalli, N Salvati
Stochastic environmental research and risk assessment 33, 1345-1359, 2019
102019
A bi-dimensional finite mixture model for longitudinal data subject to dropout
A Spagnoli, MF Marino, Alfo' Marco
STATISTICS IN MEDICINE 37 (20), 2998-3011, 2018
52018
Extending finite mixtures of latent trait analyzers for bipartite networks
F Dalila, MF Marino, F Martella
Book of short Papers 2022, 540-550, 2022
42022
Finite mixtures of hidden Markov models for longitudinal responses subject to drop out
MF Marino, M Alf˛
Multivariate Behavioral Research 55 (5), 647-663, 2020
4*2020
Multiple imputation and selection of ordinal level 2 predictors in multilevel models: An analysis of the relationship between student ratings and teacher practices and attitudes
L Grilli, M Francesca Marino, O Paccagnella, C Rampichini
Statistical Modelling 22 (3), 221-238, 2022
32022
Correlates of Inter-Districts Migrations in Tanzania. A Gravity-Type Modeling Approach
E Pirani, MF Marino, A Petrucci
Statistica 79 (2), 201-221, 2019
32019
lqmix: an R package for longitudinal data analysis via linear quantile mixtures
M Alfˇ, MF Marino, MG Ranalli, N Salvati
arXiv preprint arXiv:2302.11363, 2023
22023
Hybrid maximum likelihood inference for stochastic block models
MF Marino, S Pandolfi
Computational Statistics & Data Analysis 171, 107449, 2022
22022
Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models
GE Montanari, M Doretti, MF Marino
Advances in Data Analysis and Classification 16 (2), 457-485, 2022
22022
Biclustering multivariate discrete longitudinal data
M Alfˇ, MF Marino, F Martella
Statistics and Computing 34 (1), 42, 2024
12024
Finite mixtures of latent trait analyzers with concomitant variables for bipartite networks: an analysis of COVID-19 data
D Failli, MF Marino, F Martella
MULTIVARIATE BEHAVIORAL RESEARCH, 1-36, 2024
12024
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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