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
June 8th (Boris Hejblum) 9:30am-11am 📽️ 👨‍🏫 🗣️ Interactive lecture • Part I: Intro to Bayesian stat concepts
11am-11:15am ☕ ⏸️ Coffee break
11:15am-12:30pm 📽️ 👨‍🏫 🗣️ Interactive lecture • Exercise 1: “Prior elicitation”
• Part I continued
12:30pm-1:30pm 🥪 ⏸️ Lunch break
1:30pm-3pm 📽️ 👨‍🏫 🗣️ Interactive lecture • End of Part I
3pm-3:15pm ☕ ⏸️ Coffee break
3:15pm-4:30pm 💻 👥 🧠 Practicals • Part II: Bayesian computations (intro)
• Exercise 2: “Monte Carlo”


June 9th (Boris Hejblum) 9:30am-11am 📽️ 👨‍🏫 🗣️ Interactive lecture • Exercise 3: “Inverse transform sampling”
• Part II continued
11am-11:15am ☕ ⏸️ Coffee break
11:15am-12:30pm 💻 👥 🧠 Practicals • Finish Part II
12:30pm-1:30pm 🥪 ⏸️ Lunch break
1:30pm-3pm 📰 🧠 👥 Read and discuss • Exercise 4: “Metropolis-Hastings”
3:15pm-3:30pm ☕ ⏸️ Coffee break
3:30pm-4:30pm 📰 🧠 👥 Read and discuss • Finish Exercise 4
• Exercise 5: “BUGS & JAGS


June 10th (Boris Hejblum) 9:30am-11am 💻 👥 🧠 Practicals Part III: Bayesian applications in biomedical science
• Exercise 6: “Post-mortem Bayes”
11am-11:15am ☕ ⏸️ Coffee break
11:15am-12:30pm 💻 👥 🧠 Practicals • Exercise 7: “Bayesian meta-analysis”
12:30pm-1:30pm 🥪 ⏸️ Lunch break
1:30pm-3pm 💻 👥 🧠 Practicals • Exercise 8: “Bayesian regression”
3pm-3:15pm ☕ ⏸️ Coffee break
3:15pm-4:30pm 💻 👥 🧠 Practicals • Finish Exercise 8: “Bayesian regression”