| week | Main Session(Advanced Bayesian Statistics) (every Thursday 19:00~21:00) |
Special Session (Saturday 15:00~17:00) |
|---|---|---|
| week 0 (9/1) |
Introduction | |
| week 1 (9/8) |
Bayesian Linear Regression(FCB Chapter 9) 발제자: 김두은, 김채현, 임세희 |
|
| week 2 (9/15,9/17) |
About MCMC(Book & Chapter : various), Metropolis Algorithm(DBDA Chapter 7.2, 7.3), MCMC Diagnosis(FCB Chapter 6.6, DBDA Chapter 7.5) 발제자: 홍유빈, 이종현, 이도형 |
박재우 교수님 특강 |
| week 3 (9/22) |
대동제 & 아카라카를 온누리에 | |
| week 4 (9/29,10/1) |
About GLM(An Introduction to Generalized Linear Model Chapter 3) 발제자: 김예찬, 고정민 |
|
| week 5 (10/6) |
BigContest 최종발표 | |
| week 6 (10/13) |
중간고사 | |
| week 7 (10/20) |
중간고사 | |
| week 8 (10/27) |
휴식 | |
| week 9 (11/3,11/5) |
Nonconjugate priors and Metropolis-Hastings Algorithms(FCB Chapter 10) 발제자: 박태주, 김송희 |
Alumni 연사특강 |
| week 10 (11/10) |
PwC 컨설팅 AI&A 설명회 | |
| week 11 (11/17,11/19) |
Linear and Generalized Linear Mixed Effects Models(FCB Chapter 11) 발제자: 정연섭, 선대운 |
Alumni 연사특강 |
| week 12 (11/24) |
Final Project 최종 발표 | |
| week 13 (12/1) |
기말고사 |
- Peter D. Hoff (2009). First Course in Bayesian Statistical Methods. Springer.
- John K. Kruschke (2014). Doing Bayesian Data Analysis. Academic Press.
- Andrew Gelman (2004). Bayesian Data Analysis. Chapman & Hall/CRC.
- Dobson, A.J (2018). An Introduction to Generalized Linear Model Fourth Edition. CRC Press
- 220908 FALL week1 : Bayesian Linear Regression - https://youtu.be/ixjctaVG540
- 220915 FALL week2 : MCMC, Metropolis Algorithm, MCMC Diagnostics - https://youtu.be/v9ZT5i61fOI
- 220929 FALL week4 : Generalized Linear Model - https://youtu.be/yh9hAI3neKQ
- 221103 FALL week9 : Metropolis-Hastings Algorithm and Metropolis-Gibbs Algorithm - https://youtu.be/SSMBVmtOvhw
- 221117 FALL week11 : Generalized Linear Mixed Models - https://youtu.be/bAWqNgGEilA
- 221124 FALL week12 : Final Project Presentation - https://youtu.be/1_lBHG7fq-U
