Invito alla sponsorizzazione del


Organizzato dal CNR-IMATI-GE

6-10 maggio 2019


Il convegno EUROGRAPHICS è uno dei principali eventi, il più importante a livello europeo, della comunità scientifica internazionale che si occupa di grafica computazionale – computer graphics – raccogliendo numerosi esperti nei settori specifici della modellazione, rendering, visualizzazione scientifica, interfacce uomo-macchina, multimedia, fotografia computazionale, realtà virtuale e aumentata. Il convegno è sostenuto dall’organizzazione no-profit denominata con lo stesso nome, cui partecipano numerosi iscritti in tutto il mondo (


Tuesday, 16 October 2018, 3 p.m. (sharp),

Prof. Juan Luis Vàzquez

at the conference room of IMATI-CNR in Pavia, will give a lecture titled:

Linear and nonlinear diffusion with nonlocal fractional operators

Tuesday, 18 September 2018, 3 p.m. (sharp),

d.ssa Lara Trussandi, Universität Wien

at the conference room of IMATI-CNR in Pavia, will give a lecture titled:

From nonlocal to local Cahn-Hilliard equation

The second outreach workshop “Frontiers of Uncertainty Quantification” (FrontUQ) organized by the GAMM Activity Group on Uncertainty Quantification will be held on September 5-7, 2018 in Pavia, Italy with focus on Uncertainty Quantification in Subsurface Environments (

Tuesday, 3 July 2018, 3 p.m. (sharp),

Prof.ssa Dorothee Knees, University of Kassel, Germany

at the conference room of IMATI-CNR in Pavia, will give a lecture titled:

Rate-independent processes with time-discontinuous data

as part of the Applied Mathematics Seminar (IMATI-CNR e Dipartimento di Matematica, Pavia).

At the end a refreshment will be organized.

The seventh edition of the Colloquium Magenes will take place on Tuesday, June 26 at 3 pm in the conference room of IMATI-CNR, Pavia. The speaker of the Colloquium is

Prof. Viorel Barbu (“Al. I. Cuza” University, Iasi, Romania)

who will talk about

Nonlinear Fokker-Planck equations: deterministic and stochastic.

The Colloquium Magenes is jointly organized by the Department of Mathematics and by IMATI-CNR to honor the memory of Prof. Enrico Magenes. It consists of a conference given every year by a leading expert in the field of numerical or theoretical analysis and its applications.


Honorable mention as one of the three finalist papers for the INCOM Best Paper Award 2018 for the contribution A data-driven districting to improve emergency medical service systems presented by E. Lanzarone (IMATI-Milan) and authored by F. Regis-Hernandez (previous post-doc at IMATI-Milan), E. Lanzarone (IMATI-Milan), V. Bélanger and A. Ruiz.

IFAC INCOM 2018 Conference, Bergamo, June 2018.

Wednesday 13/6/2018 at 2:30 p.m.
Prof. Stefano Favaro
Protection against disclosure is a legal and ethical obligation for statistical agencies releasing microdata files for public use. Given a cross classification of sample records by categorical key variables, any decision about release is supported by measures of disclosure risk, the most common being the number τ of sample uniques cells that are also population uniques. In this paper we depart from the dominant literature that infers τ by modeling association among key variables, and we consider modeling directly sample records. We develop a novel nonparametric Bayesian approach under the minimal assumption of a generalized Dirichlet prior for the random partition induced by the cross-classified sample records. This allows to derive an explicit, and simple, expression for the posterior distribution of τ, as well as a large sample Binomial approximation of it. Such a closed-form results, combined with an estimator for prior parameters designed in such a way to recognizes a primary role of small cells, make inference on τ exact, of easy implementation, computationally efficient and scalable to massive datasets. The proposed approach is tested on benchmark data from the U.S. 2000 census for the state of California, showing the same good performance of recent semiparametric Bayesian models for key variables.

Presso: Sala Pentagonale II Piano Via Bassini 12 20133 Milano