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)