Vinzi Vincenzo Esposito

Professor, Information Systems, Decision Sciences and Statistics (IDS) Department at ESSEC

Biography

ESSEC

Education

Master''s degree in Business and EconomicsPh.D. in Computational Statistics, University Federico II
at Napoli, Italy
- Department of Mathematics and StatisticsPost-Doctoral Fellowship, University Federico II
at Napoli, Italy
- Department of Mathematics and Statistics

Biography

Current Member of the IFCS (International Federation of Classification Societies) Council
(IFCS, 2011-2015)
President of the International Society of
Business and Industrial Statistics (ISBIS, 2013-2015) Chairman of the European Board of Directors of the International Association for Statistical Computing (IASC), 2012-2014 Chair of the
Mahalanobis Committee on International Award in Statistics presented by the International Statistical Institute (ISI) and the Indian Ministry of Statistics and Programme Implementation at the ISI biennial Congress in Hong Kong (August 2013) Member of the ISI (International Statistical Institute) Council (2009-2013) Scientific Secretary of the International Federation of Classification Societies (IFCS, 2005-2011)
Associate Professor of Statistics,
University Federico II
at Napoli, Italy
- Department of Mathematics and Statistics (up to 2007)Visiting Professor and lecturer in Universities and Research Centers around Europe : at the HEC School of Management
in Paris, Charles University in Prague, Université Paul Sabatier in Toulouse, University of Cagliari (Italy)Associate Editor of the following Journals: Computational Statistics and Data Analysis (CSDA), Computational Statistics (CS),
Advances in Data Analysis and Classification (ADAC), Statistical Methods & Applications (SMA), Italian Journal of Applied Statistics, Le Monde des Utilisateurs de L''Analyse de Données (MODULAD)Member of the Council of the International Association for Statistical Computing (IASC), 2003-2007Member of the Board of Directors of the European Regional Section (ERS) of IASC, 1998-2002Member of the Scientific Council of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS), 2005-2007Elected Ordinary Member of the International Statistical Institute (ISI)

Research Areas

Areas

Multivariate Analysis, Exploratory Data Analysis, Clustering and Classification, Causality Networks, Dependence StructuresFactorial Methods, Partial Least Squares Regression and Path Modeling, Structural Equation Modelling (covariance-based and component-based approaches), Latent Class Detection, Typological Regression, Non Symmetrical Data Analysis, Multi-block Modeling, Analysis of Paired and Multiple Tables, Procrustean Rotations

Sectors

Customer Satisfaction Measurement (with respect to both commodities and public services), Consumer Preference Studies, Capturing Customer Heterogeneity, Sensory Data Analysis, Product Development, Total Quality Measurement, Other applications in Business and Industry

On-going Projects

Development of statistical methods for
modeling causal relationships between latent variables in presence of a group structure (either known a-priori or latent) of the statistical units Methodological research and software dvelopment for modeling causal networks and predicting scores by means of component-based approaches in case of formative indicators and strongly correlated latent variablesDevelopment of component-based approaches to formative indicators and highly correlated constructs in latent variable modelling with applications in business and industry (grant from the CERESSEC - ESSEC Research Center) Estimation and Assessment of Causal Network by means of PLS (Partial Least Squares) Path Modeling: Methodological Development and Interpretation Tools with Application Relevance (grant from the CERESSEC - ESSEC Research Center) Variable Selection for Component-Based Structural Equation Modeling and Multi-Block Analysis with Application to High Dimensional Data (grant from the CERESSEC - ESSEC Research Center) Co-author of a book with the title: PLS (Partial Least Squares) Methods: Theory and Applications

Teaching at ESSEC

Statistical Analysis for Management (ESSEC Global MBA programme) Statistics pre-MSc course (ESSEC parallel admission MSc students) Knowledge Extraction from Data (ESSEC MSc programme) Applied Statistics (Ph.D. programme)Quantitative Methods for Research in Management 1 (Ph.D. programme)Quantitative Methods for Research in Management 2 (Ph.D. programme)Multivariate Statistics in Marketing (Ph.D. programme) Structural Equation Modelling: applications in Marketing (Ph.D. programme)Seminar on “Structural Equation Modeling for the Study of Causal Relationships: the LISREL and the PLS Approaches” (Doctoral programme, 2002-2005)

Other Teaching Activities

Specialised Courses, Summer Schools, Doctoral Programmes, Research Seminars: "Composite-based Path Modeling for Multi-Bock Data Analysis", Research Seminar at the Department of Economic and Business Science - University of Cagliari, Italy (13 October 2015). "Component-based Path Modeling", Tutorial for specialized audience at the 7th International Conference of the ERCIM Working Group on Computational and Methodological Statistics (ERCIM 2014, Pisa, Italy, 5 December 2014). "PLS Path Modeling and PLS Regression", Pre-Conference PLS 2012 Doctoral Workshop, The Sensometric Society (Houston, USA, 19 May 2012). "PLS Predictive Path Models with applications to Customer Satisfaction Measurement and Sensory Data Analysis", ISBIS Sardegna International Statistics Summer School, University of Cagliari, Italy (27 June - 7 July 2011). "Statistical Soft Modeling for Measuring Customer Satisfaction via Composite Indicators", Post-graduate course in Market Analysis and Doctoral Programme, University of Cagliari, Italy (1 and 3 June 2011). "PLS Path Modeling with XLSTAT-PLSPM", Pre-Conference Sensometrics''10 Workshop, The Sensometric Society (Rotterdam, The Netherlands, 22 July 2010). "A 3-day Course on PLS Path Modeling: Basic Concepts and Foundations, Advances and Applications" (with W.W. Chin and M. Tenenhaus) - Training course for Researchers and Executives (Paris, every spring and fall since 2009 - Houston in spring 2012). “Factor Analysis and Classification” –
Training course for the EUROSTAT (Statistical Office of the European Union) junior and senior executives,
Luxembourg
(April and October, 2008 - September 2009 - May 2010). “Regression and Analysis of Variance” –
Training course for the EUROSTAT (Statistical Office of the European Union) junior and senior executives,
Luxembourg
(February and October, 2008 - September 2009 - April 2010). "A Joint Partial Least Squares Component-based Approach to Structural Equation Modeling and Multi-block Data Analysis" - Institut de Recherche Mathématique Avancée, Université de Strasbourg, France (October 27, 2009). "PLS Path Modeling: A Comprehensive Course" - Lillehammer University College, Faculty of Economics and Organisation Science - Norway (October 12-13, 2009). "PLS Path Modeling: Methodological Foundations, Recent Developments and Software Applications" - Tutorial at the 6th International Conference on Partial Least Squares and Related Methods - Beijing, China (September 7, 2009). “PLS Path Modeling for Consumer Analysis: estimation algorithm, assessment tools and applications with XLSTAT-PLSPM software” Summer School of the Italian Statistical Society (SIS) on PLS Methods for Structured Data Tables in Consumer Analysis - University of Macerata, Italy (June 10, 2009). “The PLS Path Modeling approach to Structural Equation Modeling: Methodological Foundations, Recent Decelopments and Software Applications” Tutorial at the 11th Conference of the International Federation of Classification Societies (IFCS), Dresden, Germany (March 13, 2009). “A Comprehensive PLS-based Environment to Structural Equation Modeling” CNAM, Paris (February 2009). “Component-based Structural Equation Models: the PLS Path Modelling Approach” Université de Paris VI, Jussieu, Paris (January 2009). "A Comprehensive PLS Environment to Structural Equation Modeling" -
Doctoral
programme in Computational Statistics, University of Naples "Federico II", Italy (December 18, 2008).
"Detection and Assessment of Local Models in PLS Path Modeling" -
Doctoral programme in Computational Statistics, University of Naples "Federico II", Italy (December 18, 2008).
"Model assessment and multi-group comparison in PLS Path Modeling: methodological foundations and the XLSTAT-PLSPM software" -
Doctoral
programme in Computational Statistics, University of Naples "Federico II", Italy (December 17, 2008).
“Local Model in Component-based SEM” – Journées d''Etudes en Statistique (JES) de la Société Française de Statistique (SFdS), Marseille (December 8-12, 2008). “Component-based Structural Equation Models” – Journées d''Etudes en Statistique (JES) de la Société Française de Statistique (SFdS), Marseille (December 8-12, 2008). “Introduction to Categorical Data Analysis: Chi-square test of independence for cross-tabs, binary correspondence analysis for the association between two categorical variables, multiple correspondence analysis for the analysis of survey data” –
Training course for the EUROSTAT (Statistical Office of the European Union) junior and senior executives,
Luxembourg
(November, 2008). “Statistical Modelling for Measuring Customer Satisfaction” –
University of Cagliari, Italy
(September 17th-22nd, 2008). “Path Analysis, Confirmatory Factor Analysis and Structural Equation Modelling” Université de Paris VI, Jussieu, Paris (June 2008).“PLS (Partial Least Squares) Path Modeling” –
11th Course in the ECAS (European Courses
in Advanced Statistics) Programme on the theme:
“Structural Equation Models”, Université Pierre-Mendès-France, Grenoble, France
(September 24th-28th, 2007).PLS Path Modeling for Causal Networks: Recent Contributions with Applications to Customer Satisfaction Surveys and Sensory Data Analysis – Research Seminar – Marketing Department at the HEC School of Management, Jouy-en-Josas, France (March 30th, 2006).Recent Contributions to PLS (Partial Least Squares) Regression and Path Modeling for the Analysis of Dependence Relationships, Causal Networks and Multiple Tables – Research Seminar – HEC School of Management, Jouy-en-Josas, France (March 2nd, 2006).PLS Methods: from regression to structural equation models
– course for the Master in Quantitative Methods for the Social Research and the Market Analysis of the University of Naples
Federico II
(Naples, from 2001 to 2006).The Classical (ML) and the Partial Least Squares Approaches to Study Causality Relationships by Structural Equation Modeling – Quantitative Finance Seminar, Humboldt-Universität zu Berlin, Germany (October 24th, 2005).The Classical Approach (SEM-ML) to the Study of Causality by Modeling Structural Relationships between Latent Variables – Atelier Statistique de la Société Française de Statistique
Modèles structurels et applications , Paris, France (Ocotber 20th-21st, 2005).The PLS approach to the analysis of latent variables: regression techniques (PLS1, PLS2), analysis of disjoint matrices (L-PLS, U-PLS)and multiblock analysis by means of causal networks (PLS-PM, Domino PLS)
– Course on
Sensory Evaluation of Food Products: test planning and data analysis
Italian Society of Sensory Sciences (SISS, Florence, June 28th, 2005).Use of PLS Graph for the European Customer Satisfaction Index
– PLS Summer School, Technical University of Berlin, Germany (October 6th, 2004).PLS Model Evaluation and Comparisons with LISREL
– PLS Summer School, Technical University of Berlin, Germany (October 5th, 2004).A Modeling Approach for measuring Customer Satisfaction
– Statistics course at the Faculty of Political Sciences, University of Macerata (Macerata -
Italy, May 11th, 2004).PLS (Partial Least Squares) Path Modeling: Methodological Innovations, the use of PLS-SPAD software and applications to the Customer Satisfaction Index
– (with Y.M. Chatelin) Tutorial at the
PLS and Related Methods – Focus on Customers
Conference (Lisbon, September, 16th 2003).Latent Variables Soft Modeling (PLS)
– series of lectures at the IASC-IFCS Joint International Summer School on
Classification and Data Mining in Business, Industry and Applied Research: Methodological and Computational Issues
(Lisbon, July 23rd-30th 2003).PLS (Partial Least Squares) methods: from regression to structural equations models
– Master in
Quantitative Methods for Social Research and Market Analysis , Department of Mathematics and Statistics of Naples, Italy (May, 29th-30th, 2003).The LISREL and the PLS approach to Structural Equation Modeling
– series of seminars at the Doctorate in Statistics and the Doctorate in Informatics of the Universitat Politecnica de Catalunya (Barcelona, Spain – April 28th-29th, 2003).LISREL and PLS Path Modeling
– series of lectures at the IASC-IASS Joint International Summer School on
Knowledge Discovery & Large Surveys Design and Analysis
(Anacapri, Italy, June 20th-30th 2001).Explanatory Analyses
– module of the course on Multidimensional Data Analysis for the Master in Marketing of the LUISS Management University (Rome -
Italy, February 2001).The analysis of complex systems in Epidemiology and Biomedicine
– course in the Post-Graduate School on
Biostatistics for Clinical and Epidemiological Research
by the Faculty of Medicine of the Univeristy of Naples
Federico II
(Naples - Italy, April 2000).Multivariate Statistical Analyses for Total Quality Measurement
– series of lectures at the V International Summer School in Computational Statistics organised by IASC on the theme:
3rd Millenium Challenge for Industrial Statistics
(Spetses, Greece, August 21st – September 4th, 1999).Statistics for Business and Management - course at the Master in Economy and Management for the Small Enterprises by the Faculty of Economics of the University of Naples
Federico II , Italy
(May-June, 1997).Statistics modules for the following post-graduate courses in Naples, Italy:Analysts of Scenarios on International Markets (April 2000)Experts of Tourism Marketing (July 1998)Experts of Typical Food Products Marketing (January 1998)Experts in Quality Management for Small Enterprises (July-September 1997)Market Analysts: Methodologies and Experiences supporting Small Enterprises (July 1997)

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