Eugenio Melilli
Degree in Mathematics (cum laude), Università degli studi di Milano, 1990.
Fellowship at I.A.M.I. (Istituto per le applicazioni della Matematica e dell’Informatica), C.N.R., Milano, 1991.
Assistant Professor (Ricercatore) in Statistics at I.M.Q., Università Luigi Bocconi, Milano, 1996-2005. Associate Professor of Statistics at Department of Decision Sciences, Università L. Bocconi, Milano, 2006-present. Teaching activity in Applied Statistics at Lobachevsky State University in Nizhny Novgorod (Ru), 2000-2003. Teaching activity in Statistical Theory II for the students of the PhD in Statistics and Computer Science, Bocconi University, 2003-2021.
Bayesian statistics: exchangeability and partial exchangeability, prior distributions for nonparametric models, functionals of the Dirichel process, inference on Fréchet and Lancaster classes
Population forecasting: stochastic population forecasting, forecasts based on conditional expert opinions
Confidence distributions: finite and large sample properties of confidence distributions, application to Rasch model, use of confidence distributions in hypothesis testing
Some asymptotic results for fiducial and confidence distributions
STATISTICS & PROBABILITY LETTERS, 2018Fiducial, confidence and objective Bayesian posterior distributions for a multidimensional parameter
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2018Stochastic Population Forecasting Based on Combinations of Expert Evaluations within the Bayesian Paradigm
DEMOGRAPHY, 51 (5): 1933-1954, 2014Stochastic Population Forecasts based on Conditional Expert Opinions
JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A. STATISTICS IN SOCIETY, 2012Approximating de Finetti's measures for partially exchangeable sequences
STATISTICS & PROBABILITY LETTERS, 2000Confidence distributions and hypothesis testing.
Statistical PapersUndergraduate School:
Statistics (for the students of CLEACC)
Graduate School:
Data Analysis (for the students of AFC)
PhD School:
Statistical Theory II (for the students of the PhD in Statistics and Computer Science)