PENNONI FULVIA
- U07, Floor: 2, Room: 2058
Biography
Fulvia Pennoni is Full Professor of Statistics at the Department of Statistics and Quantitative Methods of the University of Milano-Bicocca. She holds a Ph.D. in Statistics from University of Florence (Italy, 2004) and a Degree in Economics and Business Administration from University of Perugia (Italy, 2000). She has been a researcher at the Joint Research Centre (Institute for Protection of the Citizens, Unit of Applied Statistics and Econometrics) of the European Commission since 2006. She published books and research articles in international disciplinary journals on composite indicators, graphical models, latent variable models, and models for the analysis of longitudinal data.
Publications
Bartolucci, F., Pandolfi, F., Pennoni, F. (In corso di stampa). Mispecification tests for hidden Markov models based on a new class of finite mixture models. In Book of Abstract Classification and Data Science in the Digital Age (pp.271-271). Detail
Pennoni, F. (2024). Latent probability models for cross-sectional and longitudinal data. In Latent variable models: methodological and applicative developments for lifestyle and society. Detail
Brusa, L., Pennoni, F., Bartolucci, F. (2024). Maximum likelihood for discrete latent variable models via evolutionary algorithms. STATISTICS AND COMPUTING, 34(2 (April 2024)), 1-15 [10.1007/s11222-023-10358-5]. Detail
Bartolucci, F., Pennoni, F. (2024). Book Review: Visser, I. & Speekenbrink, M (2022), Mixture and Hidden Markov Models with R, Springer. PSYCHOMETRIKA, 2024(03 April), 1-3 [10.1007/s11336-024-09958-5]. Detail
Pennoni, F. (2024). Maximum Likelihood Estimation of Multivariate Regime Switching Student-t Copula Models. Intervento presentato a: 2nd International Conference on Computational Finance and Business Analytics CFBA, Interscience Institute of Management and Technology, Odisha, India. Detail
Research projects
Awards
Research and teaching assignments
- Attivita' di insegnamento - Teaching mobility (Call 2015 KA1, Erasmus+ programme) Department of Management/Economics and Financial Analysis. Teaching on Multivariate Data Analysis with R - Uniwersytet Ekonomiczny w Katowicach, 2016