[Forum SIS] 7th Seminar D2 Seminar Series FDS - 12th November 2-3.30 pm

datascience a unifi.it datascience a unifi.it
Mar 9 Nov 2021 11:23:55 CET


Dear all,

We are happy to present the seventh Seminar of the "D2 Seminar Series"
launched by the FDS. The Seminar will be held online FRIDAY 12TH OF
NOVEMBER 2021, from 2-3.30 PM.
The seminar will be held by Luigi Brugnano from the Department of
Mathematics and Computer Science "Ulisse Dini" and Veronica Ballerini
from the Department of Statistics, Computer Science and Applications "G.
Parenti" of the University of Florence.

Register in advance for this webinar:
https://us02web.zoom.us/webinar/register/WN_hjjYNaS1Tmqz1debdP-BQA

After registering, you will receive a confirmation email containing
information about joining the webinar.

We hope to see you there! You are invited to invite also your students,
PhDs and colleagues who may be interested in the Seminar (you find a
Flyer with all the info attached).

Kind Regards,
Florence Center for Data Science 

---------------- 
SPEAKER: Luigi Brugnano - Department of Mathematics and Computer Science
"Ulisse Dini", University of Florence 
TITLE: Recent advances in bibliometric indexes and their implementation 

ABSTRACT: Bibliometric indexes are nowadays very commonly used for
assessing scientific production, research groups, journals, etc. It must
be stressed that such indexes cannot substitute to enter the merit of
the specific research but, nonetheless, they can provide a gross
evaluation of its impact on the scientific community. That premise, the
currently used indexes often have drawbacks and/or sensibly vary for
different subjects of investigation. For this reason, in [1] an
alternative index has been proposed, based on an idea akin to that of
the Google PageRank. Its actual implementation has been recently done in
the Scopus database [2]. In this talk, the basic facts and results of
this approach will be recalled. 

[1] P.Amodio, L.Brugnano. Recent advances in bibliometric indexes and
the PaperRank problem. Journal of Computational and Applied Mathematics
267 (2014) 182-194. http://doi.org/10.1016/j.cam.2014.02.018 

[2] P.Amodio, L.Brugnano, F.Scarselli. Implementation of the PaperRank
and AuthorRank indices in the Scopus database. Journal of Infometrics 15
(2021) 101206. https://doi.org/10.1016/j.joi.2021.101206 

SPEAKER: Veronica Ballerini - Department of Statistics, Computer
Science, Applications "G. Parenti", University of Florence
TITLE: Fisher's Noncentral Hypergeometric Distribution for the Size
Estimation of Unemployed Graduates in Italy (joint work with Brunero
Liseo, University Sapienza di Roma)

ABSTRACT: To quantify unemployment among those who have never been
employed is often tough. The lack of an administrative data flow
attributable to such individuals makes them an elusive population.
Hence, one must rely on surveys. However, individuals' response rates to
questions on their occupation may differ according to their employment
status, implying a _not-at-random_ missing data generation mechanism. We
exploit the underused Fisher's noncentral hypergeometric distribution
(FNCH) to solve such a biased urn experiment. FNCH has been
underemployed in the statistical literature mainly because of the
computational burden given by its probability mass function. Indeed, as
the number of draws and the number of different categories in the
population increases, any method involving the evaluation of the
likelihood is practically unfeasible. Firstly, we present a methodology
that allows the approximation of the posterior distribution of the
population size via MCMC and ABC methods. Then, we apply such
methodology to the case of graduated unemployed in Italy, exploiting
information from different data sources.
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