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Roberto Di Mari
Roberto Di Mari
Email verificata su unict.it - Home page
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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
292016
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
172018
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
132018
Clusterwise linear regression modeling with soft scale constraints
R Di Mari, R Rocci, SA Gattone
International Journal of Approximate Reasoning 91, 160-178, 2017
122017
Dynamic discrete mixtures for high-frequency prices
L Catania, R Di Mari, P Santucci de Magistris
Journal of Business & Economic Statistics 40 (2), 559-577, 2022
62022
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
62020
Hierarchical Markov-switching models for multivariate integer-valued time-series
L Catania, R Di Mari
Journal of Econometrics 221 (1), 118-137, 2021
52021
Two-stage multilevel latent class analysis with covariates in the presence of direct effects
Z Bakk, R Di Mari, J Oser, J Kuha
Structural Equation Modeling: A Multidisciplinary Journal 29 (2), 267-277, 2022
22022
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
12020
Hierarchical hidden Markov models for multivariate integer-valued time-series
L Catania, R Di Mari
Journal of Econometrics, Forthcoming, 2020
12020
A Generalized Coefficient of Determination for Mixtures of Regressions
R Di Mari, S Ingrassia, A Punzo
Conference of the International Federation of Classification Societies, 27-35, 2019
12019
Assessing Measurement Invariance for Longitudinal Data through Latent Markov Models
R Di Mari, F Dotto, A Farcomeni, A Punzo
Structural Equation Modeling: A Multidisciplinary Journal, 1-13, 2021
2021
A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error
R Di Mari, A Maruotti
Advances in Data Analysis and Classification, 1-28, 2021
2021
LASSO-penalized clusterwise linear regression modeling with Local Least Angle Regression (L-LARS)
R Di Mari, R Rocci, SA Gattone
Available at SSRN 3832769, 2021
2021
Dynamic Discrete Mixtures for High-Frequency Prices
C Leopoldo, R Di Mari, P Santucci de Magistris
2021
Stepwise Estimation of Multilevel Latent Class Models
Z Bakk, R di Mari, J Oser, J Kuha
Preface XIX 1 Plenary Sessions, 171, 2021
2021
Supplementary document to Dynamic Discrete Mixtures for High Frequency Prices
L Catania, R Di Mari, PS de Magistris
2020
Penalized Versus Constrained Approaches for Clusterwise Linear Regression Modeling
R Di Mari, SA Gattone, R Rocci
Scientific Meeting of the Classification and Data Analysis Group of theá…, 2019
2019
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
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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