DI MARI, ROBERTO

DI MARI, ROBERTO  

ECONOMIA E IMPRESA  

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Titolo Data di pubblicazione Autore(i) File
Assessing Measurement Invariance for Longitudinal Data through Latent Markov Models 1-gen-2021 Di Mari, Roberto; Dotto, Francesco; Farcomeni, Alessio; Punzo, Antonio
Bias-Adjusted Three-Step Latent Markov Modeling With Covariates 1-gen-2016 Di Mari, Roberto; Oberski, Daniel L.; Vermunt, Jeroen K.
Clusterwise linear regression modeling with soft scale constraints 1-gen-2017 Di Mari, Roberto; Rocci, Roberto; Gattone, Stefano Antonio
Covariate measurement error in generalized linear models for longitudinal data: a latent Markov approach 1-gen-2018 DI MARI, Roberto; Punzo, Antonio; Maruotti, Antonello
A data driven equivariant approach to constrained Gaussian mixture modeling 1-gen-2017 Rocci, Roberto; Gattone, Stefano Antonio; DI MARI, Roberto
Dynamic Discrete Mixtures for High Frequency Prices* 1-gen-2022 Catania, Leopoldo; Di Mari, Roberto; Santucci de Magistris, Paolo
Finite mixture of linear regression models: An adaptive constrained approach to maximum likelihood estimation 1-gen-2017 Di Mari, Roberto; Rocci, Roberto; Gattone, Stefano Antonio
A generalized coefficient of determination for mixtures of regressions 1-gen-2021 Di Mari, R.; Ingrassia, S.; Punzo, A.
Hierarchical Markov-switching models for multivariate integer-valued time-series 1-gen-2021 Catania, Leopoldo; Di Mari, Roberto
Lasso-penalized clusterwise linear regression modeling with a two-step approach 1-gen-2021 DI MARI, Roberto; Rocci, Roberto; Antonio Gattone, Stefano
Local and overall coefficients of determination for mixtures of generalized linear models 1-gen-2020 DI MARI, Roberto; Ingrassia, Salvatore; Punzo, Antonio
Mostly Harmless Direct Effects: A Comparison of Different Latent Markov Modeling Approaches 1-gen-2018 Di Mari, Roberto; Bakk, Zsuzsa
A multivariate dynamic mixture model for discrete price changes at high frequency 1-gen-2018 Catania, Leopoldo; DI MARI, Roberto; Santucci de Magistris, Paolo
Penalized Estimation of a Finite Mixture of Linear Regression Models 1-gen-2023 Rocci, Roberto; Mari, Roberto Di; Gattone, Stefano Antonio
Penalized Versus Constrained Approaches for Clusterwise Linear Regression Modeling 1-gen-2021 Di Mari, R.; Gattone, S. A.; Rocci, R.
PENALIZED VS CONSTRAINED MAXIMUM LIKELIHOOD APPROACHES FOR CLUSTERWISE LINEAR REGRESSION MODELING 1-gen-2019 DI MARI, Roberto; Rocci, Roberto; Antonio Gattone, Stefano
A Random-covariate Approach for Distal Outcome Prediction with Latent Class Analysis 1-gen-2020 Di Mari, R.; Bakk, Z.; Punzo, A.
Scale-constrained approaches for maximum likelihood estimation and model selection of clusterwise linear regression models 1-gen-2019 Di Mari, R.; Rocci, R.; Gattone, S. A.
Stepwise Estimation of Multilevel Latent Class Models 1-gen-2021 Bakk, Zsuzsa; Di Mari, Roberto; Oser, Jennifer; Kuha, Jouni
Stepwise latent Markov modeling with covariates in the presence of direct effects 1-gen-2017 Di Mari, Roberto; Bakk, Zsuzsa