Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Harvard Business School Working Paper, No. 21-034, September 2020.

This course focuses on experimental design and applied statistical methods for data analysis. Students will learn how to design and interpret experiments considering multiple variables, avoiding ...

The classical design (factorial design, response surface design, etc.) may fail to meet our requirements due to an irregular design space, involving categorical variables, a nonstandard model, or ...

Bayesian experimental design is a tool for guiding experiments founded on the principle of expected information gain. I.e., which experiment design will inform the most about the model can be ...

The results add to physicists’ understanding of neutrinos and validate collaboration between major experiments. The NOνA far detector. Credit: Public domain image from Fermilab. More details here.