Rebecca Graziani
I graduated in 1997 from Bocconi University in Discipline Economiche e Sociali with a thesis in statistics on Bayesian analysis of Dynamic Models (advisor Professor Michele Cifarelli). In 1998 worked as a consultant at the Unesco Division of Statistics in Paris. I attended a PhD program in Methodological Statistics at Università di Trento, and in 2002 discussed a thesis on Bayesian methods for non parametric regression (advisor Professor Michele Cifarelli). During the PhD, I was visiting student at the Mathematics Department of Imperial College, London and worked under the supervision of Professor Christopher Holmes. In 2002 and 2003 I had a Post-Doc position in Statistics at Bocconi University.
From 2003 to 2012, I worked as Ricercatore at the Department of Decision Sciences (DEC). Then, until September 2022, I was Ricercatore at the Department of Social and Political Sciences (SPS), and currently, I am at the Department of Decision Sciences .
I was visiting researcher in 2011 at the Economic Department of Oslo University working with Nico Keilman and in 2012 at Center di Estudis Demografics, Barcelona. From 2012 to 2015 I worked with the ISTAT team responsible of the delivery of Italian Population projection. The work lead to the delivery, for the first time, of official probabilistic forecasts for the Italian Population.
I am interested in Bayesian methods, in particular computational methods, and their application in social sciences.
Stochastic population forecasting: a Bayesian approach based on evaluations by experts
Developments in demographic forecasting, vol 49, 2020Bayesian nonparametric estimation of targeted agent effects on biomarker change to predict clinical outcome
BIOMETRICS, 71 (1): 188-197, 2015Stochastic Population Forecasting Based on Combinations of Expert Evaluations within the Bayesian Paradigm
DEMOGRAPHY, 51 (5): 1933-1954, 2014From 2012, I am course director and teach the course in Quantitative Methods for Management, compulsory for the Master of Science in Economics and Management in Arts, Culture, Media and Entertainment. In the course I introduce students to multivariate statistics techniques and their implementation with SPSS.
From 2018 I teach the course in Statistics and Probability, compulsory for the Master of Science in Data Science and Business Analystics. I run a module on Computational Statistics, introducing students to Monte Carlo and Markov Chain Monte Carlo techniques, and their implementation with Python.
From 2016 I am course director and teach the course Quantitative Methods II, Statistics compulsory for Bachelor of Science in International Politics and Government. I introduce students to data description and inferential techniques and their application with STATA.
From 2017 I teach the course in Statistics compulsory for Bachelor of Science in Economics and Management for Arts, Culture and Communication. I introduce students to data description and inferential techniques and their application with R.