Damian Pavlyshyn

Slides of workshops and expository talks

  1. I reject your RCT and substitute my own: A workshop in inverse propensity weighting (2023 July, Burnet Institute). An applied introduction to inverse propensity weighting in the context of clinical trials.

  1. A practical introduction to regression (2023 May, Burnet Institute). A first introduction to the notion of regression using R for people with minimal mathematical background.

  1. The road to figuring out the mean: Why adding up and dividing is not obvious (2021 September, Stanford University). A foray into the early history of statistics, examining how the arithmetic mean became the gold standard for location estimation over the course of centuries.

Stanford Statistics (course instructor and teaching assistant)

  1. STATS 32: Introduction to R for undergradutes

    • 2021 Spring, instructor: Damian Pavlyshyn

    • 2020 Spring, instructor: Damian Pavlyshyn

  1. STATS 310B: Theory of Probability II (2022 Winter, instructor: Sourav Chatterjee)

  1. STATS 200: Introduction to Statistical Inference

    • 2021 Autumn, instructor: Joe Romano

    • 2021 Winter, instructor: Chiara Sabatti

    • 2020 Winter, instructor: Julia Palacios

    • 2019 Winter, instructor: Julia Palacios

  1. STATS 202: Data Mining and Analysis (2021 Summer, instructor: Linh Tran)

  1. STATS 300A: Theory of Statistics I (2021 Autumn, instructor: Dominik Rothenhausler)

  1. STATS 310A: Theory of Probability I

    • 2019 Autumn, instructor: Andrea Montanari

    • 2018 Autumn, instructor: Sourav Chatterjee

  1. STATS 50: Mathematics of Sport (2019 Spring, instructor: Maxime Cauchois)

  1. STATS 216V: Introduction to Statistical Learning (2018 Summer, instructor: Trevor Hastie)

  1. STATS 110: Statistical Methods in Engineering and the Physical Sciences (2017 Autumn, instructor: Xiang Zhu)

Course codes:

The University of Melbourne (tutor)

  1. MAST30020: Probability for Inference (2017 Semester 1, instructor: Konstantin Borovkov)

  1. MAST20026: Real Analysis (2016 Semester 2, instructor: Richard Brak)

  1. MAST20004: Probability (2016 Semester 1, instructor: Nathan Ross)

  1. MAST10007: Linear Algebra (2015 Semester 2, instructor: Lawrence Reeves)

Teaching Awards