TRINCHERA Laura
PhD, Statistics
Information Systems, Supply Chain Management & Decision Support
PhD, Statistics
Laura TRINCHERA is Associate Professor of Statistics at NEOMA BS.
She holds a Master Degree in Business and Economics and a PhD in Statistics (2008) from the University of Naples « Federico II », Italy.
Her research is on Data Science with an emphasis on Structural Equation Modeling, Partial Least Squares (PLS) Methods, Clustering and Classification algorithms. Her research is published in high-ranking journals such as Structural Equation Modeling: A Multidisciplinary Journal, Journal of Production Economics, Journal of Organizational Behavior, Recherche et Applications en Marketing, International Journal of Information Management and Management Decision.
She has been visiting researcher at University of California at Santa Barbara, University of Michigan at Ann Arbor, University of Hamburg, Charles University in Prague, HEC School of Management in Paris and external lecturer at ESSEC Business School, SciencesPo Paris and Sorbonne University at Abu Dhabi.
Areas of research
- Multivariate Data Analysis
- Variable selection
- Clustering and Classification
- Partial Least Squares Regression and Path Modeling
- Structural Equation Modeling
Participation at an academic or professional conference
- TRINCHERA, L., G.RUSSOLILLO, V.KUPPELWIESER, "Categorical Data in PLS Path Modeling: A Marketing Study" in Correspondence Analysis and Related Methods (CARME), 2015, Naples, Italy
- TRINCHERA, L., S.SQUILLACCIOTTI, "PLS Typological Path Modeling: une nouvelle approche à la classification. Technical Report, EDF R&D Departement", 2006