Information Systems, Supply Chain & Decision Making PhD, Statistics
Specialization domain(s):

- Multivariate Data Analysis, Partial Least Squares Regression and Path Modeling, Structural Equation Modeling, Variable selection, Clustering and Classification


Laura TRINCHERA is Assistant Professor of Statistics at NEOMA Business School, France. She holds a Master Degree in Business and Economics (2004) and a PhD in Statistics (2008) from the University of Naples Federico II, Italy. Her research focuses on Multivariate Data Analysis with an emphasis on Structural Equation Modeling, Partial Least Squares (PLS) Methods and Clustering and Classification algorithms. She is member of the International Association for Statistical Computing (IASC), of the International Society of Business and Industrial Statistics (ISBIS), of the Italian Statistical Society (SIS) and of the Société Française de Statistique (SFDS). She has been elected member of the Council Committee of the Young group of the SFDS. She is co-chair of the specialised team Component-based Methods for Predictive and Exploratory Path Modeling of the working group on Computational and Methodological Statistics in the European Research Consortium for Informatics and Mathematics (ERCIM). 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 for the ESSEC PhD Programme at ESSEC Business School.