Sfoglia per Corso Statistica metodologica
Advances in model based clustering for the social sciences
2023
Advances in unsupervised learning: integrating clustering and latent structure modeling
2026
Bayesian finite mixture models to account for latent heterogeneity in capture-recapture analysis
2023
Bayesian hierarchical spatio-temporal models for the analysis of interregional mobility of patients undergoing joint arthroplasty in Italy
2026
Classification and regression energy tree for functional data
2018
Dimensionality reduction and simultaneous classication approaches for complex data: methods and applications
2019
Dynamic factor models: improvements and applications
2022
Estimation of the variance for different estimators of the change over time for overlapping samples
2019
Flexible methods for survival data: synthetic patients, imputation and prediction in mixture cure models
2026
Fuzzy spectral clustering methods for textual data
2023
Generalized belief change with imprecise probabilities and graphical models
2018
Informative designs in survey sampling: an asymptotic approach
2026
Latent space models for multidimensional network data
2019
Mixed effect quantile and M-quantile regression for spatial data
2020
Multilevel mixed-type data analysis for validating partitions of scrapie isolates
2017
On quantile regression models for multivariate data
2022
On the wide applicability of Bayesian hierarchical models
2022
Persistenza del tasso di cambio: il caso dell'Australia rispetto agli USA
2021
Population size estimation via alternative parametrizations for Poisson mixture models
2020
Reinforcement learning in modern biostatistics: benefits, challenges and new proposals
2021
Legenda icone
- file ad accesso aperto
- file disponibili sulla rete interna
- file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile