[Forum SIS] DEC Statistics Seminar -May 5th

Raffaella Piccarreta raffaella.piccarreta a unibocconi.it
Lun 2 Maggio 2016 15:48:37 CEST


Dear all, 
We are glad to announce the next: 




DEC - Statistics Seminar 

Thursday, May 5th 


Bocconi University, 

Room 3-E4-SR03 

Via Rontgen 1 - 3rd floor 

Time: 12:30 pm 



Antonietta Mira ( Università degli Studi dell'Insubria e Università della Svizzera Italiana ) 

"Statistical inference on large-scale network models" 

Abstract: 


Many systems of scientific and societal interest can be investigated as networks. Increasing availability of empirical large-scale data and steady improvements in computational capacity are continuing to fuel the growth of this field. An aspect that has received less attention is the divide between the two prominent paradigms to the modeling of network structure: the physics based mechanistic approach and the statistical approach. The mechanistic approach typically assumes that microscopic mechanisms governing network formation and evolution are known, and questions often focus on understanding macroscopic features that emerge from repeated application of these known mechanisms. The statistical approach, in contrast, often starts from observed network structures and attempts to infer some aspects about the underlying data generating process. 
I will first consider mechanistic network models for which there is no closed form expression for the likelihood but thanks to the possibility to easily sample a network configuration given a set of parameter values, we develop a principled framework, based on Approximate Bayesian Computation, that can be used to bring some of the mechanistic network models into the realm of statistical inference (joint work with JP Onnela). 
I will then move to statistical network and develop a new Bayesian nonparametric model based on Polya urns and we will provide a closed for expression for the likelihood (joint work with S. Peluso e P. Muliere). 
Finally, if time remains, I will discuss Markov chain Monte Carlo based inference for the class of exponential random graph models for which the likelihood is only available up to a normalizing constant (joint work with A. Caimo, N. Friel and C. Oates). 


Kind regards, 

Raffaella Piccarreta and Isadora Antoniano 



The DEC statistics seminars schedule is available at http://www.unibocconi.eu/statseminar 



ATTENTION: 

If you are a guest and you do not have a Bocconi ID Card to access to the Bocconi Buildings, please confirm your participation by sending an email to martina.ercoli a unibocconi.it 
In addition, we suggest to print, fill out and send the attached form (to give your consent to personal data handling) via email to the same address. In this way, the check-in procedure at the entrance will be faster and easier. 


-- 
*************************************************** 
Raffaella Piccarreta 
Prof. Associato - Statistica 
DEC - Department of Decision Sciences, 
Universita' L.Bocconi, via Guglielmo Röntgen 1 (3rd floor, room D1-09). 20136, Milano. 
email: piccarreta a unibocconi.it 
tel. +39-02-58365659 / fax +39-02-58365630 

Web page (ENGLISH VERSION): http://faculty.unibocconi.eu/raffaellapiccarreta/ 
(ITALIAN VERSION): http://faculty.unibocconi.it/raffaellapiccarreta/ 
*************************************************** 
---
Dai il tuo 5x1000 alla Bocconi.
Aiuta gli studenti meritevoli a costruire il proprio futuro.
CF 80024610158.
www.unibocconi.it/5x1000

Please note that the above message is addressed only to individuals filing Italian income tax returns.
---
-------------- parte successiva --------------
Un allegato HTML è stato rimosso...
URL: <http://www.stat.unipg.it/pipermail/sis/attachments/20160502/eb72f75e/attachment-0001.html>
-------------- parte successiva --------------
Un allegato non testuale è stato rimosso....
Nome:        ModuloVisitorPass&Privacy.pdf
Tipo:        application/pdf
Dimensione:  56070 bytes
Descrizione: non disponibile
URL:         <http://www.stat.unipg.it/pipermail/sis/attachments/20160502/eb72f75e/attachment-0002.pdf>
-------------- parte successiva --------------
Un allegato non testuale è stato rimosso....
Nome:        A.Mira 05.05.16.pdf
Tipo:        application/pdf
Dimensione:  45515 bytes
Descrizione: non disponibile
URL:         <http://www.stat.unipg.it/pipermail/sis/attachments/20160502/eb72f75e/attachment-0003.pdf>


Maggiori informazioni sulla lista Sis