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 
Bayesian methodology & advanced Monte Carlo Simulations

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May 20-24, 2019
                                                                                                                                                            
Speaker
     Antonietta Mira (USI)
 
A Description of the Course can be found here:Info
 
Topics
Monte Carlo
               
    Importance Sampling
 
Markov Chain Monte Carlo
 
    Approximate Bayesian Computation
 
 
 
                                                                                                                                         
Prerequisites:
 
      Knowledge on introductory probability and statistics is required.
 
              Ability to read and run code in R or Matlab is strongly recommended.
 
 
ECTS
Upon request, a certificate for the course can be provided.
 
Fee
Free
 
Registration

To register, please sign up herehttps://doodle.com/poll/fqtf7aeb2yahs9wt 

 
Venue

Università della Svizzera italiana

 
Accommodation

Participants are kindly requested to make their own arrangements for accomodatoions

Link to hotel map of Lugano

 

Organizers:

 

Antonietta. Mira (USI), Rolf Krause (USI), Maria Giuseppina Chiara Nestola (USI), 

 
 

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