"Parametric Model of Quantile Regression Coefficient Functions"
We are glad to host Dr. Paolo Frumento, Associate Professor at the University of Pisa, who will give a talk on "Parametric Model of Quantile Regression Coefficient Functions"; welcome to join either in presence or Zoom.
When:
March 20 2026, 1:30 PM - 2:45 PM
Where:
Room 08, Building U9
Viale dell'Innovazione 10, Milano
ZOOM:
https://ki-se.zoom.us/j/65583355802
Speaker:
Dr. Paolo Frumento
University of Pisa
Title:
Parametric Model of Quantile Regression Coefficient Functions
Quantile regression coefficient modeling (QRCM) is an approach in which quantile regression coefficients are described through parametric functions. This is not merely a smoothing technique: it enables full parametric identification of the conditional distribution while retaining the standard structure of quantile-based approaches. QRCM simplifies estimation and ix§nference, makes better use of the available information, and allows traditional estimators to be extended to censored, truncated, longitudinal, and discrete data
About the Speaker:
Paolo Frumento is an Associate Professor at the University of Pisa, Italy. Previously, he was an Assistant Professor at the Karolinska Institutet in Stockholm, Sweden. His main research interests include quantile regression and its generalizations, survival analysis, statistical modeling, and causal inference.