Foto del docente

Gabriele Soffritti

Associate Professor

Department of Statistical Sciences "Paolo Fortunati"

Academic discipline: SECS-S/01 Statistics

Publications

Galimberti G.; Nuzzi L.; Soffritti G., Covariance matrix estimation of the maximum likelihood estimator in multivariate clusterwise linear regression, «STATISTICAL METHODS & APPLICATIONS», 2021, 30, pp. 235 - 268 [Scientific article]

Galimberti G; Soffritti G, A note on the consistency of the maximum likelihood estimator under multivariate linear cluster-weighted models, «STATISTICS & PROBABILITY LETTERS», 2020, 157, pp. 1 - 5 [Scientific article]

Giuliano Galimberti; Gabriele Soffritti, Seemingly unrelated clusterwise linear regression, «ADVANCES IN DATA ANALYSIS AND CLASSIFICATION», 2020, 14, pp. 235 - 260 [Scientific article]

Ranciati, Saverio; Galimberti, Giuliano; Soffritti, Gabriele, Bayesian variable selection in linear regression models with non-normal errors, «STATISTICAL METHODS & APPLICATIONS», 2019, 28, pp. 323 - 358 [Scientific article]

Sacco, Chiara; Di Michele, Rocco; Semprini, Gabriele; Merni, Franco; Soffritti, Gabriele*, Joint assessment of handedness and footedness through latent class factor analysis, «LATERALITY», 2018, 23, pp. 643 - 663 [Scientific article]

Galimberti, Giuliano; Manisi, Annamaria; Soffritti, Gabriele, Modelling the role of variables in model-based cluster analysis, «STATISTICS AND COMPUTING», 2018, 28, pp. 145 - 169 [Scientific article]

Ranciati, Saverio; Galimberti, Giuliano; Soffritti, Gabriele, Bayesian variable selection in linear regression models with non-normal errors, in: F. Greselin, F. Mola, M. Zenga, Cladag 2017. Book of short papers, Mantova, Universitas Studiorum srl, 2017, pp. 1 - 6 (atti di: International Conference of The CLAssification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS), Milan, Italy, September 13-15, 2017) [Contribution to conference proceedings]

Galimberti, Giuliano; Scardovi, Elena; Soffritti, Gabriele, Using mixtures in seemingly unrelated linear regression models with non-normal errors, «STATISTICS AND COMPUTING», 2016, 26, pp. 1025 - 1038 [Scientific article]

Giuliano Galimberti; Gabriele Soffritti, A multivariate linear regression analysis using finite mixtures of t distributions, «COMPUTATIONAL STATISTICS & DATA ANALYSIS», 2014, 71, pp. 138 - 150 [Scientific article]

Merni F.; Di Michele R.; Soffritti G., Assessment of handedness using latent class factor analysis, «LATERALITY», 2014, 19, pp. 405 - 423 [Scientific article]

Galimberti G.; Soffritti G., Using conditional independence for parsimonious model-based Gaussian clustering, «STATISTICS AND COMPUTING», 2013, 23, pp. 625 - 638 [Scientific article]

Galimberti G.; Soffritti G.; Di Maso M., Classification Trees for Ordinal Responses in R: The rpartScore Package, «JOURNAL OF STATISTICAL SOFTWARE», 2012, 47 (Issue 10), pp. 1 - 25 [Scientific article]

G. Galimberti; G. Soffritti; M. Di Maso, rpartScore: Classification trees for ordinal responses, 2012. [Software]

G. Galimberti; G. Soffritti, Tree-based methods and decision trees, in: Modern Analysis of Customer Surveys: with applications using R, CHICHESTER, John Wiley & Sons, 2012, pp. 283 - 307 [Chapter or essay]

G. Soffritti; G. Galimberti, Multivariate linear regression with non-normal errors: a solution based on mixture models, «STATISTICS AND COMPUTING», 2011, 21, pp. 523 - 536 [Scientific article]

Latest news

At the moment no news are available.