Roberto Di Mari
Roberto Di Mari
Unniversità degli Studi di Catania
Email verificata su unict.it - Home page
Titolo
Citata da
Citata da
Anno
Bias-adjusted three-step latent Markov modeling with covariates
R Di Mari, DL Oberski, JK Vermunt
Structural Equation Modeling: A Multidisciplinary Journal 23 (5), 649-660, 2016
252016
A data driven equivariant approach to constrained Gaussian mixture modeling
R Rocci, SA Gattone, R Di Mari
Advances in Data Analysis and Classification 12 (2), 235-260, 2018
102018
Mostly harmless direct effects: A comparison of different latent Markov modeling approaches
R Di Mari, Z Bakk
Structural Equation Modeling: A Multidisciplinary Journal 25 (3), 467-483, 2018
102018
Clusterwise linear regression modeling with soft scale constraints
R Di Mari, R Rocci, SA Gattone
International Journal of Approximate Reasoning 91, 160-178, 2017
62017
Hierarchical Markov-switching models for multivariate integer-valued time-series
L Catania, R Di Mari
Journal of Econometrics, 2020
52020
Scale-constrained approaches for maximum likelihood estimation and model selection of clusterwise linear regression models
R Di Mari, R Rocci, SA Gattone
Statistical Methods & Applications 29 (1), 49-78, 2020
22020
Dynamic Discrete Mixtures for High-Frequency Prices
L Catania, R Di Mari, P Santucci de Magistris
Journal of Business & Economic Statistics, 1-19, 2020
2020
Supplementary document to Dynamic Discrete Mixtures for High Frequency Prices
L Catania, R Di Mari, PS de Magistris
2020
A Random-covariate Approach for Distal Outcome Prediction with Latent Class Analysis
R Di Mari, Z Bakk, A Punzo
Structural Equation Modeling: A Multidisciplinary Journal 27 (3), 351-368, 2020
2020
Dynamic Discrete Mixtures for High-Frequency Prices
C Leopoldo, R Di Mari, P Santucci De Magistris
2020
Constrained maximum likelihood estimation of clusterwise linear regression models with unknown number of components
R Di Mari, R Rocci, SA Gattone
arXiv preprint arXiv:1804.05185, 2018
2018
Cluster-weighted latent class modeling
R Di Mari, A Punzo, Z Bakk
arXiv preprint arXiv:1801.01464, 2018
2018
Estimation of clusterwise linear regression models with a shrinkage-like approach
R Di Mari, R Rocci, SA Gattone
arXiv preprint arXiv:1611.03309, 2016
2016
Finite Mixture of Linear Regression Models: An Adaptive Constrained Approach to Maximum Likelihood Estimation
R Di Mari, R Rocci, SA Gattone
International Conference on Soft Methods in Probability and Statistics, 181-186, 2016
2016
Covariate measurement error in generalized linear models for longitudinal data: a latent Markov approach
R Di Mari, A Punzo, A Maruotti
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–15