CANNAS, MASSIMO
CANNAS, MASSIMO
DIPARTIMENTO DI SCIENZE ECONOMICHE ED AZIENDALI
Optimal Matching with Matching Priority
2024-01-01 Cannas, Massimo; Sironi, Emiliano
Galton-Watson process: a non parametric prior for the offspring distribution
2023-01-01 Cannas, Massimo; Guindani, Michele; Piras, Nicola
On the Voigt distribution: Characterization and parameter estimation
2023-01-01 Puggioni, Gavino; Cannas, Massimo
OSDR: Finds an Optimal System of Distinct Representatives
2022-01-01 Cannas, Massimo
Comparison of machine learning algorithms and covariate balance measures in propensity score matching and weighting
2019-01-01 Cannas, Massimo; Arpino, Bruno
Job satisfaction and subjective well-being in Europe
2019-01-01 Cannas, M.; Sergi, B. S.; Sironi, E.; Mentel, U.
Matching with Clustered Data: the CMatching Package in R
2019-01-01 Cannas, Massimo; Arpino, Bruno
Order optimal matching for incomplete matching problems
2019-01-01 Cannas, Massimo
Random effects clustering in multilevel modeling: choosing a proper partition
2019-01-01 Conversano, C; Cannas, M; Mola, F; Sironi, E
Template matching for hospital comparison: an application to birth event data in Italy
2019-01-01 Cannas, Massimo; Berta, Paolo; Mola, Francesco
CMatching: Matching Algorithms for Causal Inference with Clustered Data
2018-01-01 Cannas, Massimo; Colicino, Elena; Arpino, Bruno
Estimating the effect of prenatal care on birth outcomes
2018-01-01 Sironi, Emiliano; Cannas, Massimo; Mola, Francesco
On the support of matching algorithms
2017-01-01 Cannas, Massimo; Puggioni, Gavino
Template matching for hospital comparison: an application to birth event data in Italy
2017-01-01 Cannas, Massimo; Berta, Paolo; Mola, Francesco
Variation in caesarean delivery rates across hospitals: a Bayesian semi-parametric approach
2017-01-01 Cannas, Massimo; Conversano, Claudio; Mola, Francesco; Sironi, E.
Estimating the effect of prenatal care on birth outcomes
2016-01-01 Cannas, Massimo; Emiliano, Sironi; Mola, Francesco
Machine learning for the estimation of the propensity score: a simulation study = Il machine learning nella stima del propensity score: uno studio di simulazione
2016-01-01 Arpino, Bruno; Cannas, Massimo
Propensity score matching with clustered data. An application to the estimation of the impact of caesarean section on the Apgar score
2016-01-01 Arpino, B; Cannas, Massimo
A note on the use of recursive partitioning in causal inference
2015-01-01 Conversano, Claudio; Cannas, Massimo; Mola, Francesco
Prediction of late/early arrivals in container terminals - A qualitative approach
2015-01-01 Pani, Claudia; Vanelslander, T; Fancello, Gianfranco; Cannas, Massimo