MCF contractuelle, MMIP (Modélisations Mathématiques, Informatiques et Physiques)
University of Naples "Federico II", Mathematics and Statistics
Thesis Title: Unobserved Heterogeneity in Structural Equation Models: a new approach to latent class detection in PLS Path Modeling
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Vincenzo Esposito Vinzi
Carlo N. Lauro |
About
Laura Trinchera obtained her Master degree in Economics at the University of Naples “Federico II” in 2004, and received her Doctoral degree in Statistics at the Department of Mathematics and Statistics of the University of Naples “Federico II” (Italy) in Febrary 2008. From November, 2008 to November, 2009 she was a postdoctoral fellow at the Department of Development Studies of the University of Macerata (Italy). From January, 2010 to August, 2011 she was a postdoctoral fellow at the Department of Signal Processing & Electronic Systems of the SUPELEC (France). From September 2011 she is Assistent Professor at AgroParisTech.
She is member of the ISBIS (International Society for Business and Industrial Statistics) section of the ISI (International Statistics Institute), 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 (Routledge Taylor and Francio Group) and Computational Statistics (Springer).
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. More recently it is paying attention to variable selection in regression models, when a huge amount of variables are avaliable.
