Instructor: Sumeet Agarwal
3 credits (3-0-0)
Pre-requisite: An introductory probability/statistics course
II Semester 2022–23
Tu F 15:30–16:50, LH 620
Please see Richard McElreath's Statistical Rethinking course to get a rough sense of what I hope to cover. Further detail will be added here in due course.
Serial no. | Lecture nos. | Topics | Slides/Links |
1 | 1–5 | Science and statistical modelling: the Bayesian perspective | |
2 | 5 | Sampling | |
3 | 6–10 | Regression modelling, splines | |
4 | 11–15 | Association, confounding, and causality | |
5 | 15–18 | Overfitting, regularisation, model comparison | |
6 | 18–20 | Sampling-based inference: MCMC | |
7 | 20– | Maxent and GLMs |