Advances in Latent Variables

Methods, Models and Applications

  • Maurizio Carpita
  • Eugenio Brentari
  • El Mostafa Qannari

Part of the Studies in Theoretical and Applied Statistics book series (STAS)

Also part of the Selected Papers of the Statistical Societies book sub series (STASSPSS)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Gabriele Cantaluppi, Marco Passarotti
    Pages 13-25
  3. Marcella Corduas
    Pages 27-36
  4. Stefania Capecchi, Silvia Ghiselli
    Pages 37-48
  5. Fabrizia Mealli, Barbara Pacini, Elena Stanghellini
    Pages 49-59
  6. Giovanni Marano, Gianni Betti, Francesca Gagliardi
    Pages 73-81
  7. Davide Di Cecco, Danila Filipponi, Irene Rocchetti
    Pages 83-91
  8. Martin Ponweiser, Bettina Grün, Kurt Hornik
    Pages 93-100
  9. Caterina Liberati, Paolo Mariani, Lucio Masserini
    Pages 151-158
  10. Adam Sagan, Barbara Pawełek
    Pages 171-183
  11. Giuseppe Cavaliere, Michele Costa, Luca De Angelis
    Pages 185-196
  12. Andrea Pierini, Antonello Maruotti
    Pages 197-206
  13. Alessandra Amendola, Giuseppe Storti
    Pages 207-217
  14. Karel Hron, Peter Filzmoser
    Pages 219-226
  15. Kohei Adachi, Nickolay T. Trendafilov
    Pages 227-239
  16. Eric J. Beh, Salman A. Cheema, Duy Tran, Irene L. Hudson
    Pages 241-251
  17. Robin J. Evans
    Pages 253-262
  18. Maurizio Baussola, Eleonora Bartoloni, Aldo Corbellini
    Pages 277-285

About this book


The book, belonging to the series “Studies in Theoretical and Applied Statistics – Selected Papers from the Statistical Societies”, presents a peer-reviewed selection of contributions on relevant topics organized by the editors on the occasion of the SIS 2013 Statistical Conference "Advances in Latent Variables. Methods, Models and Applications", held at the Department of Economics and Management of the University of Brescia from June 19 to 21, 2013.

The focus of the book is on advances in statistical methods for analyses with latent variables. In fact, in recent years, there has been increasing interest in this broad research area from both a theoretical and an applied point of view, as the statistical latent variable approach allows the effective modeling of complex real-life phenomena in a wide range of research fields.

A major goal of the volume is to bring together articles written by statisticians from different research fields, which present different approaches and experiences related to the analysis of unobservable variables and the study of the relationships between them.


Latent Vaiables Statistical Methods complex real-life phenomena

Editors and affiliations

  • Maurizio Carpita
    • 1
  • Eugenio Brentari
    • 2
  • El Mostafa Qannari
    • 3
  1. 1.Dept. of Economics and ManagementUniversity of BresciaBresciaItaly
  2. 2.Dept. of Economics and ManagementUniversity of BresciaBresciaItaly
  3. 3.Dept. of Chemometrics and SensometricsOniris Nantes National CollegeNantesFrance

Bibliographic information