Simulations in Science and Engineering" is pleased to announce a course for graduate/PhD
students in the fields of data analysis and probabilistic/statistical modeling:
 
FoMICS-DADSi Course on 
ABC - Approximate Bayesian Computation

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July 15th 2019
 
Description
On 15th July in Lugano at USI from 10 am  until 5.30 pm (with a lunch break from 1:00 to 2:00 pm with pizza offered to all participants) 
 
USI-ICS will organize a short course (free of charge) on  ABC - Approximate Bayesian Computation within the FOMICS / Dadsi activities.
                                                                                                                                                            
Speakers
     Antonietta Mira (USI)
  Louis Raynal  (UNIVERSITÉ DE MONTPELLIER)
 Anthony Ebert (USI).
 
 
Topics
ABC basic principles and difficulties

 Some strategies for the selection of summary statistics 

 Adjustment regression techniques

 ABC importance sampling, ABC-PMC / ABC-SMC
 
ABC without summary statistics with application to queuing networks 

 ABC - Random Forest for model choice 

ABC - Random Forest  for parameter inference 
 
 ABC for inference in mechanistic model for network data 
 
-ABC for inference for spreading processes of epidemics and news on network structures 
 
ABCpy a python suite to run ABC 
 
 
 
                                                                                                                                         
Prerequisites:
 
               Knowledge on introductory probability and statistics is required.  
 
 
Room
 

PC004 Blue Building

 
 
ECTS
Upon request, a certificate for the course can be provided.
 
Fee
Free
 
Registration

 To register please sent an email to 

 
Venue

Università della Svizzera italiana

 
Accommodation

Participants are kindly requested to make their own arrangements for accomodatoions

Link to hotel map of Lugano

 
 

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