Veronica BIAZZO

Researcher of Probability and statistics [MAT/06]
Office: V.le A. Doria, 6 DMI, III blocco, studio n. 53
Email: vbiazzo@dmi.unict.it
Phone: 095 7383020
Office Hours: Monday and Friday from 15:30 to 17:30 Si consiglia di contattare il docente per e-mail per verificare che non ci siano impedimenti. Si riceve anche su appuntamento.



Veronica Biazzo is born in 1968. 

Since 2001 is  researcher in Probability.

She teaches in the Degree Math course at University of Catania.

The main research interest is the probabilistic reasoning based on the de Finetti approach and the related coherence principle.

Curriculum Vitae et Studiorum Veronica Biazzo

Address: VIALE A. DORIA 6 – 95125 CATANIA - ITALY

Telephone: 0957383020

E-mail: vbiazzo@unict.it

Academic Position:
Researcher at University of Catania.

Graduated Education:

  • 1997 :
    Degree in Mathematics, University of Catania, Italy.
     
  • 1999 :
    1999-2003 : Ph.D. in Applied Mathematics, University of Napoli.
     
  • 2001 :
    Researcher at University of Catania.


Summer Schools:
 

  • 2000:
    Summer course in math SMI - Cortona, 13-26 Agosto 2000;
     
  • 2001:
    First international summer school reasoning under partial knowledge, August 26 - September 6, 2001, Foligno (PG), Italy.
     
  • 2002:
    Second international summer school reasoning under partial knowledge, August 26- September 14, 2002 , Foligno (PG), Italy.
    Academic Experience:
    2000 :
    Visiting researcher at University of Maryland, College Park, USA, in collaboration with Prof. V.S. Subrahmanian, on probabilistic database.


Teachings of the five last years:    

2017-2018:

“Probabilità e Statistica”


2016-2017:
“Probabilità e Statistica”


2015-2016:
“Probabilità e Statistica”


2014-2015:
“Probabilità e Statistica”


2013-2014:
“Probabilità e Statistica”.
 

Academic Year  

Probabilistic reasoning based on the de Finetti approach. Applications, for coherence checking and propagation of precise and imprecise conditional probability assessments. Properties of the set of precise and imprecise conditional probability assessments. Coherence and properties of the set of precise and imprecise conditional previsions. Proper scores rules.

Partecipation to the project MatIta, in 2016.