Teaching (and some notes)

Statistics 248: Analysis of Time Series (Spring 2022)

Statistics 201A: Introduction to probability at an advanced level (Fall 2021)

Statistics 248: Analysis of Time Series (Spring 2021)

Statistics 157 and 260: Bayesian Statistics (Fall 2020)

Statistics 248: Analysis of Time Series (Spring 2020)

Statistics 201A: Introduction to probability at an advanced level (Fall 2019) — Lecture Notes

Statistics 201A: Introduction to probability at an advanced level (Fall 2018)

Statistics 210B: Theoretical Statistics (Spring 2018) —
Lecture Notes

Statistics 201A: Introduction to probability at an advanced level (Fall 2017)

Statistics 28: Statistical methods for data science (jointly with Prof. Elizabeth Purdom) (Spring 2017)

Statistics 151A: Linear Modeling: Theory and Applications (Fall 2016)


Statistics 153: Introduction to Time Series (Spring 2016)

Statistics 151a: Linear Modeling: Theory and Applications (Fall 2015)

Statistics 153: Introduction to Time Series (Spring 2015)


Statistics 210B: Theoretical Statistics (Spring 2014)

Statistics 153: Introduction to Time Series (Spring 2014)

Statistics 151A: Linear Modeling: Theory and Applications (Fall 2013)

Statistics 153: Introduction to Time Series (Spring 2013)

Statistics 212: Information Theory and Statistics (Fall 2012)

Statistics 153: Introduction to Time Series (Spring 2012)