Laura started following the work of 2 people.
Laura started following the work of Gaston Sanchez, Universitat Politecnica de Catalunya, Statistics and Operations Research.
Laura started following the work of Antonio Irpino, Seconda Università di Napoli, Dipartimento di studi europei e mediterranei.
University of Naples "Federico II"
Post-Doc, Mathematics and Statistics
Thesis Title: Unobserved Heterogeneity in Structural Equation Models: a new approach to latent class detection in PLS Path Modeling
Vincenzo Esposito Vinzi
Carlo Lauro
About
Laura Trinchera obtained her Master degree in Economics at the University of Naples “Federico II”, and received her Doctoral degree in Statistics at the Department of Mathematics and Statistics of the University of Naples “Federico II” (Italy). Now she is a postdoctoral fellow at the Department of Development Studies of the University of Macerata (Italy).
She is member of the Societè Francaise de Statistique (SFdS) and of the CLAssification and Data Analysis Group (CLADAG) of the Italian Statistical Society. She serves as a reviewer for several scientific journals, among which the Journal of Applied Statistics.
Her research interests cover: traditional multivariate analyses; Structural Equation Models (SEM) and the several estimation techniques proposed for SEM, paying special attention to the PLS Path Modeling algorithm; the issue of Unobserved Heterogeneity in SEM; the use of non-linear relations both in PLS Regression and in PLS Path Modeling.
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