Reading Group

Modern Statistical Theory
Reading
: High-Dimensional Statistics: A Non-Asymptotic Viewpoint by Martin Wainwright.

Date
Presenter
Discussants
Topic
02/10/2019
Derek Latremouille
Jerry, Kaviul
Ch. 1: Overview of Estimation and Prediction Problems in the High-Dimensional Setting
30/10/2019
Ch. 2: Concepts and Techniques
27/11/2020
Ch. 3: Concepts and Techniques
18/12/2020
Ch. 4: Concepts and Techniques
29/01/2021
Ch. 5: Concepts and Techniques
26/02/2021
Ch. 6: Standard Statistical Procedures in the High-Dimensional Setting
26/03/2021
Ch. 7: Standard Statistical Procedures in the High-Dimensional Setting
23/04/2021
Ch. 8: Standard Statistical Procedures in the High-Dimensional Setting

Causal Inference
Readings:
• Van der Laan MJ, Rose S. (2011). Targeted learning: causal inference for observational and experimental data. Springer Science & Business Media. [TL]
• Van der Laan MJ, Rose S. (2018). Targeted learning in data science. Springer International Publishing. [TL-DS]

Date & Time (ET)
Presenter
Discussants
Topic
25/09/2020 @ 12-2pm
Thai-Son Tang
Rose, Jason, Larry
Overview of Causal Framework, Parametric Models, Super Learning (TL: Ch. 1-3)
23/10/2020
Thai-Son Tang
TBD
TMLE / tmle package (TL: Ch. 4-6)
20/11/2020
Larry & Estella Dong
Kuan
Marginal Structural Models / Positivity (TL: Ch. 9-10)
11/12/2020
Sumeet Kalia
TBD
Applications of TMLE in RCTs & Survival Analysis (TL: Ch. 11-12, 17)
22/1/2021
Collaborative TMLE (TL: Ch. 19-21)
19/2/2021
Sequential Super Learning / LTMLE (TL-DS: Ch. 3-4, 15)
19/3/2021
ltmle package (TL-DS: Ch. 4, 15)
16/4/2021
One-Step TMLE / Highly-Adaptive LASSO (TL-DS: Ch. 5-6)

Please contact Thai-Son (thaison.tang@mail.utoronto.ca) for more information.