Schedule

This course will span over 3 consecutive days from 8am to 3pm.

Lectures : this page contains the recorded lecture videos, the lecture notes and the slides for this class.
Practicals : this page contains the practicals code exercise corresponding to the topics covered each of the 3 days.

Date	Time	Activity	Topic
Before April 9^th	On your own time (2h to 4h)	👨‍💻 📝 ✅ Pre-requisites	Refresher on • Maximum Likelihood Estimations •

*April 9^th (Boris Hejblum)*	8am-10am	📽️ 👨‍🏫 🗣️ Interactive lecture	• Part I: Intro to Bayesian stat concepts • Exercise 1: “Prior elicitation”
	10am-10:15am	☕ ⏸️ Coffee break
	10:15am-12pm	📽️ 👨‍🏫 🗣️ Interactive lecture	• End of Part I • Part III: Bayesian computations (intro)
	12pm-1pm	🥪 ⏸️ Lunch break
	1pm-3pm	💻 👥 🧠 Practicals in break-out groups	• Exercise 2: “Monte Carlo” • Exercise 3: “Inverse transform sampling”

*April 10^th (Corine Baayen)*	8am-10am	📽️ 👨‍🏫 🗣️ Interactive lecture	Part II: Probability of Success in biomedical research
	10am-10:15am	☕ ⏸️ Coffee break
	10:15am-12pm	📽️ 👨‍🏫 🗣️ Interactive lecture	Part II continued
	12pm-1pm	🥪 ⏸️ Lunch break
	1pm-3pm	📽️ 👨‍🏫 🗣️ Interactive lecture	End of Part II

*April 11^th (Boris Hejblum)*	8am-10am	📽️ 👨‍🏫 🗣️ Interactive lecture	• Finish Part III: Bayesian computations
	10am-10:15am	☕ ⏸️ Coffee break
	10:15am-12pm	💻 👥 🧠 Practicals in break-out groups	• Exercise 4: “Metropolis-Hastings”
	12pm-1pm	🥪 ⏸️ Lunch break
	1pm-3pm	📰 🧠 👥 Read and discuss in break-out groups	• Exercise 5: “`BUGS` & `JAGS`” • Part IV intro: Goligher et al.

*April 12^th (Boris Hejblum)*	8am-10am	💻 👥 🧠 Practicals in break-out groups	Part IV: Bayesian applications in bimedical science • Exercise 6: “Post-mortem Bayes”
	10am-10:15am	☕ ⏸️ Coffee break
	10:15am-12pm	💻 👥 🧠 Practicals in break-out groups	• Exercise 7: “Bayesian meta-analysis”
	12pm-1pm	🥪 ⏸️ Lunch break
	1pm-3pm	💻 👥 🧠 Practicals in break-out groups	• Exercise 8: “Bayesian regression”