| 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 | 39 | 2016 |
| 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 | 27 | 2018 |
| Clusterwise linear regression modeling with soft scale constraints R Di Mari, R Rocci, SA Gattone International Journal of Approximate Reasoning 91, 160-178, 2017 | 19 | 2017 |
| 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 | 16 | 2022 |
| 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 | 15 | 2018 |
| 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 | 12 | 2020 |
| 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 | 10 | 2022 |
| Hierarchical Markov-switching models for multivariate integer-valued time-series L Catania, R Di Mari Journal of Econometrics 221 (1), 118-137, 2021 | 9 | 2021 |
| 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 29 (3), 381-393, 2022 | 4 | 2022 |
| A two-step estimator for multilevel latent class analysis with covariates R Di Mari, Z Bakk, J Oser, J Kuha arXiv preprint arXiv:2303.06091, 2023 | 3 | 2023 |
| 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, 2022 | 3 | 2022 |
| A generalized coefficient of determination for mixtures of regressions R Di Mari, S Ingrassia, A Punzo Data Analysis and Rationality in a Complex World 16, 27-35, 2021 | 2 | 2021 |
| 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, 49-78, 2020 | 2 | 2020 |
| Changing citizenship norms among adolescents, 1999-2009-2016: A two-step latent class approach with measurement equivalence testing J Oser, M Hooghe, Z Bakk, R Di Mari Quality & Quantity 57 (5), 4915-4933, 2023 | 1 | 2023 |
| Multilevel latent class analysis with covariates: Analysis of cross-national citizenship norms with a two-stage approach R Di Mari, Z Bakk, J Oser, J Kuha arXiv preprint arXiv:2307.10720, 2023 | 1 | 2023 |
| multilevLCA: An R Package for Single-Level and Multilevel Latent Class Analysis with Covariates J Lyrvall, R Di Mari, Z Bakk, J Oser, J Kuha arXiv preprint arXiv:2305.07276, 2023 | 1 | 2023 |
| Penalized versus constrained approaches for clusterwise linear regression modeling R Di Mari, SA Gattone, R Rocci Statistical Learning and Modeling in Data Analysis: Methods and Applications …, 2021 | 1 | 2021 |
| Hierarchical hidden Markov models for multivariate integer-valued time-series L Catania, R Di Mari Technical report, SSRN, 2018 | 1 | 2018 |
| Embedding latent class regression and latent class distal outcome models into cluster‐weighted latent class analysis: a detailed simulation experiment R Di Mari, A Punzo, Z Bakk Australian & New Zealand Journal of Statistics, 2023 | | 2023 |
| LASSO–penalized clusterwise linear regression modelling: a two–step approach R Di Mari, R Rocci, SA Gattone Journal of Statistical Computation and Simulation, 1-24, 2023 | | 2023 |
