PIRAS, NICOLA
PIRAS, NICOLA
DIPARTIMENTO DI MATEMATICA ED INFORMATICA
Bivariate associations in multilevel cross-classified latent class models
2026-01-01 Piras, Nicola; Columbu, Silvia; Vermunt, Jeroen K.
Maximum likelihood and moment estimators for the voigt profile via Fourier transform
2026-01-01 Cannas, Massimo; Piras, Nicola; Callia, Leonardo
Multilevel Latent Class with CUB Models
2026-01-01 Piras, N.; Columbu, S.; Jacques, J.
OrdinalCompositions
2026-01-01 Piras, Nicola; Musio, Monica; Cappelletti-Montano, Beniamino
Regression for ordinal data on the simplex
2026-01-01 Piras, Nicola; Cappelletti Montano, Beniamino; Musio, Monica
Estimation of Voigt Distribution Parameters: A Bayesian Approach
2025-01-01 Cannas, Massimo; Piras, Nicola
Multilevel latent class models for cross-classified categorical data: model definition and estimation through stochastic EM
2025-01-01 Columbu, S.; Piras, N.; Vermunt, J. K.
Voigt: the voigt distribution
2025-01-01 Chiriu, Daniele; Cannas, Massimo; Piras, Nicola
Log-likelihood approximation in stochastic EM for multilevel latent class models
2024-01-01 Columbu, Silvia; Piras, Nicola; Vermunt, Jeroen K.
Model selection procedure in multilevel cross-classified latent class models
2024-01-01 Piras, Nicola; Columbu, Silvia; Vermunt, Jeroen K.
Galton-Watson process: a non parametric prior for the offspring distribution
2023-01-01 Cannas, Massimo; Guindani, Michele; Piras, Nicola
Multilevel cross-classified latent class models
2023-01-01 Columbu, Silvia; Piras, Nicola; Vermunt, Jeroen K.
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| Bivariate associations in multilevel cross-classified latent class models | 1-gen-2026 | Piras, Nicola; Columbu, Silvia; Vermunt, Jeroen K. | STRUCTURAL EQUATION MODELING | - |
| Maximum likelihood and moment estimators for the voigt profile via Fourier transform | 1-gen-2026 | Cannas, Massimo; Piras, Nicola; Callia, Leonardo | - | Springer |
| Multilevel Latent Class with CUB Models | 1-gen-2026 | Piras, N.; Columbu, S.; Jacques, J. | JOURNAL OF CLASSIFICATION | - |
| OrdinalCompositions | 1-gen-2026 | Piras, Nicola; Musio, Monica; Cappelletti-Montano, Beniamino | - | CRAN |
| Regression for ordinal data on the simplex | 1-gen-2026 | Piras, Nicola; Cappelletti Montano, Beniamino; Musio, Monica | - | Springer |
| Estimation of Voigt Distribution Parameters: A Bayesian Approach | 1-gen-2025 | Cannas, Massimo; Piras, Nicola | - | Springer |
| Multilevel latent class models for cross-classified categorical data: model definition and estimation through stochastic EM | 1-gen-2025 | Columbu, S.; Piras, N.; Vermunt, J. K. | STATISTICS AND COMPUTING | - |
| Voigt: the voigt distribution | 1-gen-2025 | Chiriu, Daniele; Cannas, Massimo; Piras, Nicola | - | CRAN |
| Log-likelihood approximation in stochastic EM for multilevel latent class models | 1-gen-2024 | Columbu, Silvia; Piras, Nicola; Vermunt, Jeroen K. | - | PUP |
| Model selection procedure in multilevel cross-classified latent class models | 1-gen-2024 | Piras, Nicola; Columbu, Silvia; Vermunt, Jeroen K. | - | Durham University |
| Galton-Watson process: a non parametric prior for the offspring distribution | 1-gen-2023 | Cannas, Massimo; Guindani, Michele; Piras, Nicola | - | Pearson |
| Multilevel cross-classified latent class models | 1-gen-2023 | Columbu, Silvia; Piras, Nicola; Vermunt, Jeroen K. | - | Pearson Education Resources |