Programme

Summer school programme

“Bayesian Statistical Analyses for the Human, Social and Cognitive Sciences”.

Summer school directors: Valentina Moro & Michele Scandola

Day 1 (Monday) 8 June

Time Topic Teacher(s)
8:30 – 9:30 Registration  
9:30 – 9:45 Welcome greetings Valentina Moro
9:45 – 10:45 The probabilistic mechanism of updating information: an introduction Fabio Spizzichino
10:45 – 11:00 Coffee break  
11:00 – 12:30 Bayes Your Way Out of the Rationality Conundrum Massimiliano Badino
12:30 – 14:00 Lunch break  
14:00 – 15:00 Conditional independence and sufficient partitions Fabio Spizzichino
15:00 – 16:00 Markov Chain Monte Carlo Michele Scandola
16:00 – 16:30 Coffee break  
16:30 – 18:00 Bayesian statistics for Virtual Reality studies in psychology and cognitive neuroscience Mel Slater

Day 2 (Tuesday) 9 June

Time Topic Teacher(s)
9:00 – 11:00 Basic Bayesian ideas and model comparison Richard Morey
11:00 – 11:20 Coffee break  
11:20 – 13:00 Bayesian analysis using BayesFactor Richard Morey
13:00 – 14:30 Lunch break + Poster Session  
14:30 – 15:30 Practical BayesFactor in your analysis pipeline Richard Morey
15:30 – 15:45 Coffee break  
15:45 – 18:00 Hands-on workshop Richard Morey


Day 3 (Wednesday) 10 June

Time Topic Teacher(s)
9:00 – 10:00 A user-friendly software to start with Bayesian Analysis. The basics of JASP Daniele Romano
10:00 – 11:00 Introduction to (generalized) linear multilevel models Michele Scandola
Marco Tullio Liuzza
11:00 – 11:20 Coffee break  
11:20 – 13:00 The brms package Michele Scandola
Marco Tullio Liuzza
13:00 – 14:30 Lunch break  
14:30 – 15:15 Hands-on Workshop Michele Scandola
Marco Tullio Liuzza
Daniele Romano
15:15 – 15:30 Coffee break  
15:30 – 18:00 Hands-on Workshop Michele Scandola
Marco Tullio Liuzza
Daniele Romano

Day 4 (Thursday) 11 June

Time Topic Teacher(s)
9:00 – 10:00 Bayesian approaches to inference in the investigation of the relationship between sensitivity to disgust for body odors and social attitudes. Marco Tullio Liuzza
10:00 – 11:00 Writing your own Bayesian Model: JAGS and STAN (first part) Michele Scandola
11:00 – 11:20 Coffee break  
11:20 – 13:00 Writing your own Bayesian Model: JAGS and STAN (second part) Michele Scandola
13:00 – 14:00 Lunch break  
14:00 – 15:00 Hands-on Workshop Michele Scandola
Marco Tullio Liuzza
Daniele Romano
15:00 – 15:30 Coffee break  
15:30 – 17:00 Writing your own Bayesian Model: JAGS and STAN (third part) Michele Scandola
17:00 – 18:00 Hands-on Workshop Michele Scandola
Marco Tullio Liuzza
Daniele Romano

Day 5 (Friday) 12 June

Time Topic Teacher(s)
9:00 – 10:30 Bayesian updating in the brain: analytical approaches in behavioural designs and applications to computational psychiatry Rosalyn Moran
10:30 – 10:40 Coffee break  
10:40 – 11:30 An introduction to Model fitting in Nonlinear Settings Rosalyn Moran
11:30 – 13:00 Predictive Codes in the Brain & Emergence from Variational Bayes Rosalyn Moran
13:00 – 14:30 Lunch break  
14:30 – 15:30 Dynamic Causal Modelling: an introduction (first part) Rosalyn Moran
15:00 – 15:30 Coffee break  
15:30 – 18:00 Dynamic Causal Modelling for EEG (second part) Rosalyn Moran

Day 6 (Saturday) 13 June

Time Topic Teacher(s)
9:00 – 10:30 Group Studies using Bayesian Statistics Rosalyn Moran
10:30 – 10:40 Coffee break  
10:40 – 11:30 DCM Practical I Rosalyn Moran
11:30 – 13:00 DCM Practical II Rosalyn Moran