Personale docente

Curriculum
- Bachelor's Degree in Statistical and Economic Sciences obtained from the Faculty ofStatistical, Demographic, and Actuarial Sciences at the University of Padua on July 17,1992, with a score of 108/110.- PhD in Statistics, obtained on October 29, 1996, with a thesis entitled "Statistical In-ference based on Empirical Likelihood Function: Some Developments".- Post-Doctoral Research fellow in the disciplinary area of Economic and Statistical Scien-ces, at the University of Padua, March 1997.Currently, he is Associate Professor in Statistics at the Department of Cardiac, Thoracic,Vascular Sciences and Public Health of the University of Padua. He was a Researcher inStatistics (scientific-disciplinary sector SECS-S/01 in Italy) at the Faculty of StatisticalSciences of the University of Padua since December 10, 1997. He obtained eligibilityfor the role of Associate Professor in the Statistics in September 2001. He assumed theposition of Associate Professor in January 2005 at the Faculty of Statistical Science of theUniversity of Padua. He obtained the scientific qualification (ASN) for the role of FullProfessor in Statistic in July 2018.
Pubblicazioni
https://www.research.unipd.it/simple-search?query=gianfranco+adimari
Area di ricerca
The research activity initially focused (and partially still does today) on the studyof pseudo-likelihoods, particularly empirical likelihood and quasi-likelihood, with interestin methodological and theoretical aspects, applications to inferential problems in non-parametric settings, also characterized by incomplete data, and applications to robustinference problems.In recent years, research activity has also focused on studying statistical techniquesfor evaluating diagnostic tests. In particular, some inferential problems related to ROCanalysis have been addressed, concerning Receiver Operating Characteristic (ROC) cur-ves and surfaces, and derived indicators, even in a context of incomplete information(verification bias), clustered data or the presence of covariates.
Phone number: 049 8275780.

