[Ryan Martin]
Ryan Martin
Professor
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Future teaching — Spring 2027

Stat 598 — Imprecise-Probabilistic Foundations of Statistics & Data Science

Current teaching — Fall 2026

None

Past teaching

ST421 — Introduction to Mathematical Statistics I (@ NCSU)
ST422 — Introduction to Mathematical Statistics II (@ NCSU)
ST431 — Introduction to Experimental Design (@ NCSU)
ST503 — Fundamentals of Linear Models and Regression (@ NCSU)
ST512 — Experimental Statistics for Biological Sciences II (@ NCSU)
ST701 — Statistical Theory I (@ NCSU)
ST702 — Statistical Theory II (@ NCSU)
ST790 — Special Topics: Imprecise-Probabilistic Foundations of Statistics & Data Science (@ NCSU)

Stat 401 — Introduction to Probability (@ UIC)
Stat 411 — Statistical Theory (@ UIC)
Stat 451 — Computational Statistics (@ UIC)
Stat 511 — Advanced Statistical Theory I (@ UIC)
Stat 512 — Advanced Statistical Theory II (@ UIC)
Stat 591 — Advanced Topics: Bayesian Analysis (@ UIC)
Stat 591 — Advanced Topics: Prior-free Probabilistic Inference (@ UIC)


Lecture notes, etc

These are notes based on the Stat 411 (Statistical Theory) and Stat 511/512 (Advanced Statistical Theory) courses that I taught several times while I was at the University of Illinois at Chicago, between 2011 and 2016. Both documents are technically still "works in progress" but they are readable and useable. Several instructors have asked if they can use these materials and I am happy to share. If you're an instructor and would like to use these notes as a reference for your own course, then that's great, but please contact me first because I have a couple very minor requests.

Materials from the computational statistics course I taught at UIC in Spring 2016 are here.

Slides and R codes from the intermediate-level linear models course I taught at NCSU in Spring 2021 are here

Something new I've been experimenting with in my recent courses is to write my lecture notes after giving the lecture. My thinking is that, when the material is fresh in my mind (which it is immediately after giving the lecture), then writing the notes will go quickly. Here are the notes I prepared for three recent courses using this strategy. Feedback welcome!