CAZZARO MANUELA

Ruolo: 
Professore associato
Settore scientifico disciplinare: 
STATISTICA (SECS-S/01)
Telefono: 
0264483104
Stanza: 
U07, Piano: P04, Stanza: 4138
Via Bicocca degli Arcimboldi, 8 - 20126 MILANO

Pubblicazioni

  • Nicolussi, F., & Cazzaro, M. (2020). Investigation on Life Satisfaction Through (Stratified) Chain Regression Graph Models. In A. Makrides, A. Karagrigoriou, & C.h. Skiadas (a cura di), Data Analysis and Applications 3 (pp. 89-99). ISTE WILEY. Dettaglio
  • Nicolussi, F., & Cazzaro, M. (2019). Context-specific independence in innovation study. In C.H. Skiadas, & J.R. Bozeman (a cura di), Data Analysis and Applications 2. Wiley. Dettaglio
  • Nicolussi, F., Cazzaro, M., & Di Brisco, A. (2019). Learning procedure for chain (stratified) graphical models. In 3th International Conference on Computational and Financial Econometrics (CFE 2019) and 12th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2019) (pp. 23). Ecosta econometrics and statistics. Dettaglio
  • Nicolussi, F., & Cazzaro, M. (2019). Context-specific independencies embedded in chian graph models of type I. In F. Greselin, L. Deldossi, L. Bagnato, & M. Vichi (a cura di), Statistical learning of complex data (pp. 173-180). Springer. Dettaglio
  • Nicolussi, F., & Cazzaro, M. (2019). Context-specific independencies in Hierarchical Multinomial Marginal models. STATISTICAL METHODS & APPLICATIONS, 1-20. Dettaglio