Programme

Summer school programme

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

Summer school directors: Valentina Moro & Michele Scandola

Day 1 (monday) 3 June

Time Topic Teacher(s)
8:30 – 9:30 Registration
9:30 – 9:45 Welcome greetings Prof. Valentina Moro
9:45 – 11:00 Introduction to the Bayesian logic for statistical analysis Michele Scandola – Marco Tullio Liuzza – Daniele Romano
11:00 – 11:20 Coffee break
11:15 – 13:00 Introduction to the Bayesian logic for statistical analysis Michele Scandola – Marco Tullio Liuzza – Daniele Romano
13:00 – 14:00 Lunch break
14:00 – 15:00 The brms package Michele Scandola – Marco Tullio Liuzza – Daniele Romano
15:00 – 15:30 Coffee break
15:30 – 18:00 Hands-on Workshop Michele Scandola – Marco Tullio Liuzza – Daniele Romano

Day 2 (tuesday) 4 June

Time Topic Teacher(s)
9:00 – 11:00 Writing your own Bayesian Model: JAGS and STAN (first part) Michele Scandola – Marco Tullio Liuzza – Daniele Romano
11:00 – 11:20 Coffee break
11:20 – 13:00 Hands-on Workshop Michele Scandola – Marco Tullio Liuzza – Daniele Romano
13:00 – 14:00 Lunch break
14:00 – 15:00 Writing your own Bayesian Model: JAGS and STAN (second part) Michele Scandola – Marco Tullio Liuzza – Daniele Romano
15:00 – 15:30 Coffee break
15:30 – 18:00 Hands-on Workshop Michele Scandola – Marco Tullio Liuzza – Daniele Romano

Day 3 (Wednesday) 5 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 – 14:00 Lunch break + Poster Session
14:00 – 15:00 Practical BayesFactor in your analysis pipeline Richard Morey
15:00 – 15:30 Coffee break
15:30 – 18:00 Hands-on workshop Richard Morey

Day 4 (Thursday) 6 June

Time Topic Teacher(s)
9:00 – 10:30 ‘Bayesian updating in the brain: analytical approaches in behavioural designs. An implementation example from ‘Dynamics of attentional selection under conflict: toward  a rational Bayesian account.’, Yu, Dayan & Cohen’. Rosalyn Moran
10:30 – 10:40 Coffee break
10:40 – 11:30 An introduction to Variational Bayes for Complex Models & Gradient Descent,  Model fitting in Nonlinear Settings Rosalyn Moran
11:30 – 13:00 Predictive Codes in the Brain & Emergence from Variational Bayes Rosalyn Moran
13:00 – 14:00 Lunch break + Poster Session
SOCIAL EVENTS (forecoming)

Day 5 (Friday) 7 June

Time Topic Teacher(s)
9:00 – 11:00 Dynamic Causal Modelling: an introduction (first part) Karl J. Friston
11:00 – 11:20 Coffee break
11:20 – 13:00 Dynamic Causal Modelling: Bayesian Fusion (second part) Karl J. Friston
13:00 – 14:00 Lunch break + Poster Session
14:00 – 15:00 The Bayesian Brain: Self-evidencing (third part) Karl J. Friston
15:00 – 15:30 Coffee break
15:30 – 18:00 The Bayesian Brain: Active Inference Karl J. Friston