Class Schedule

This page contains a schedule of the topics, content, and assignments for the semester. Note that this schedule will be updated as necessary the semester progresses, with all changes documented here.

Instructions to save the slides as PDFs can be found here. The key is to hit E when the slides are open in your browser (ideally Chrome, but it may work in others) to toggle into PDF print mode.

Readings can be accessed using the link (when needed, through the Cornell library with a Cornell login) or on Canvas.

Week Date Topic Slides Reading Exercises Homework
Hypothesis Testing and Modeling
1 Mon, Jan 22 Overview, GitHub Intro Rockmore (2024)
Wed, Jan 24 Uncertainty and Probability Review
2 Mon, Jan 29 Probability Models and Model Residuals Stein (2020)
Wed, Jan 31 Probability Models II
3 Mon, Feb 5 Exploratory Data Analysis
Wed, Feb 7 More on Discrepancy and Bayesian Statistics
4 Mon, Feb 12 More Bayes and Extreme Values Doss-Gollin et al (2021)
Wed, Feb 14 No Class: Project Work
5 Mon, Feb 19 Extreme Value Theory and Models Arns et al (2013)
Wed, Feb 21 Data Visualization
6 Mon, Feb 26 No Class: February Break
Wed, Feb 28 In-Class Figure Discussion
Simulation Methods
7 Mon, Mar 4 Monte Carlo Simulation Kale (2021)
Wed, Mar 6 Sampling Distributions and The Bootstrap
8 Mon, Mar 11 The Parametric Bootstrap Rahmstorf & Coumou (2011)
Wed, Mar 13 Bayesian Computation
9 Mon, Mar 18 Markov Chain Monte Carlo Ruckert et al (2017)
Wed, Mar 20 MCMC Convergence and Example
10 Mon, Mar 25 MCMC Lab
Wed, Mar 27 Literature Review Presentations
Mon, Apr 1 No Class: Spring Break
Wed, Apr 3 No Class: Spring Break
Model Assessment and Selection
11 Mon, Apr 8 No Class: Eclipse
Wed, Apr 10 Hypothesis Testing
12 Mon, Apr 15 Model Assessment
Wed, Apr 17 Cross-Validation and Predictive Assessment
13 Mon, Apr 22 Information Criteria
Wed, Apr 24 Other Information Criteria
Emulation
14 Mon, Apr 29 Model Complexity and Emulation
Wed, May 1 Emulation Wrap-Up and Class Review
15 Mon, May 6 Project Presentations