Course schedule

Published

04 September 2026

Warning

This is a preliminary schedule and may be subject to change.

Date Topic Pre-class Readings Supp. Material
08 Sep No Class (Imagine Day)
10 Sep Overview + review of probability AoS 1–2
15 Sep Expectation and inequalities AoS 3–4
17 Sep Convergence of random variables vdV 2.1–2.2 AoS 5
22 Sep Convergence of random variables & Delta method vdV 2.3 AoS 5
24 Sep Fundamentals of inference vdV 1; vdV 3.1, 3.4; AoS 6
29 Sep Estimating the CDF and statistical functionals AoS 7
01 Oct Bootstrap methods in practice AoS 8 CASI 10
06 Oct Consistency of bootstrap methods vdV 23.1-23.2 (excluding 23.2.1)
08 Oct Parametric frequentist inference AoS 9 CASI 4–5
13 Oct Parametric Bayesian inference AoS 11 CASI 3
15 Oct Statistical decision theory AoS 12
20 Oct TBD
22 Oct Midterm
27 Oct Empirical risk minimization and cross-validation
29 Oct Nonparametric curve-fitting: density estimation AoS 20.1–20.3 AoNS 6.1–6.3
03 Nov Nonparametric curve-fitting: regression AoS 20.4, 21 AoNS 4–5
05 Nov Normal means model, James-Stein estimator and ridge regression CASI 7, AoNS 7.1
10 Nov No Class (Midterm break)
12 Nov SURE and the James-Stein estimator again AoNS 7.2–7.3, 7.4, 7.6 AoNS 7.5
17 Nov Survival analysis CASI 9
19 Nov EM algorithm AoS 9.13.4 + TBD
24 Nov Consistency of Z-/M-estimators vdV 5.1–5.2
26 Nov Asymptotic normality of Z-/M-estimators vdV 5.3
01 Dec Nonlinear least squares and one-step estimators vdV 5.3, 5.7
03 Dec Nuisance parameters TBD
Important

The final exam will be determined by UBC. It will be scheduled between December 11 and December 22.

Do not schedule any travel before the university determines the final exam schedule.