PISA - July 15, 2016
The aim of the workshop is to bring together researchers interested in methodological and applied research in Quantile and M-quantile Regression. It is organized as a thematic workshop and it is expected to promote open discussions and setting-up of new research networks.
Final Program - YOU CAN CLICK ON THE TITLES TO VIEW/DOWNLOAD SLIDES
8.30 |
Registration opening |
8.50 |
Workshop opening |
9:00-9:40 |
Regression modeling of geometric rates Matteo Bottai (Institute of Environmental Medicine, Karolinska Institutet) |
9:40-10:20 |
What if…? Robust Prediction Intervals for Unbalanced Samples Ray Chambers (NIASRA, University of Wollongong) |
10:20-10:50 |
On the Lp-quantiles for the Student t distribution Mauro Bernardi (Università di Padova), Valeria Bignozzi (Sapienza Università di Roma), Lea Petrella (Sapienza Università di Roma) |
10:50-11:15 |
Coffee break |
11:15-11:45 |
Handling heterogeneity among units in Quantile Regression Cristina Davino (Università di Macerata), Domenico Vistocco (Università di Cassino e del Lazio Meridionale) |
11:45-12:15 |
Finite mixtures of quantile and M-quantile regression models Marco Alfò (Sapienza Università di Roma), M. Giovanna Ranalli (Università degli Studi di Perugia), Nicola Salvati (Università di Pisa) |
12:15-12:45 |
Leonardo Grilli (Università di Firenze), Carla Rampichini (Università di Firenze), Roberta Varriale (ISTAT, Roma) |
12:45-14:00 |
Lunch |
14:00-14:40 |
Estimation and Testing in M-quantile Regression with application to small area estimation Nikos Tzavidis (Social Statistics & Demography, University of Southampton), Annamaria Bianchi (University of Bergamo), Enrico Fabrizi (Catholic University of the Sacred Heart), Nicola Salvati (University of Pisa) |
14:40-15:10 |
Parametric modeling of quantile regression coefficient functions Paolo Frumento (Karolinska Institutet) |
15:10-15:40 |
M-quantiles for binary and categorical data James Dawber (NIASRA, University of Wollongong) |
15:40-16:10 |
Bayesian inference for generalised quantile regression models Mauro Bernardi (Università di Padova), Valeria Bignozzi (Sapienza Università di Roma), Lea Petrella (Sapienza Università di Roma) |
16:10-16:30 |
Coffee break |
16:30-17:00 |
Measuring Efficiency in a Spatial Context Through Quantile Regression R.Benedetti (Università G. D’Annunzio di Chieti-Pescara), A.G. Billé (Università Tor Vergata Roma), F. Piersimoni (ISTAT), C. Salvioni (Università G. D’Annunzio di Chieti-Pescara) |
17:00-17:30 |
A Unit‐level Quantile Nested Error Regression Model for Domain Prediction Timo Schmid (Freien Universität Berlin), Nikos Tzavidis (Social Statistics & Demography, University of Southampton), Nicola Salvati (Università di Pisa), Beate Weidenhammer (Freien Universität Berlin) |
17:30-18:00 |
Latent drop-out classes in linear quantile hidden Markov models M. Francesca Marino (Università degli Studi di Perugia), Nikos Tzavidis (Social Statistics & Demography, University of Southampton), Marco Alfò (Sapienza Università di Roma) |
18:00-18:15 |
Conclusions |
Scientific and Organizing Committee
- R. Chambers (University of Wollongong)
- C. Davino (Università di Macerata),
- E. Fabrizi (Università Cattolica del Sacro Cuore),
- C. Giusti (Università di Pisa),
- G. Marchetti (Università di Pisa),
- L. Petrella (Sapienza Università di Roma),
- N. Salvati (Università di Pisa),
- D. Vistocco (Università di Cassino e del Lazio meridionale)
Contact information
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Nicola Salvati (Università di Pisa) This email address is being protected from spambots. You need JavaScript enabled to view it.
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Enrico Fabrizi (Università Cattolica del Sacro Cuore) This email address is being protected from spambots. You need JavaScript enabled to view it.
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Cristina Davino (Università di Macerata) This email address is being protected from spambots. You need JavaScript enabled to view it.
Accommodation and further information can be found here