This course is my version of the introductory statistical methods course, covering hypothesis testing through regression. The emphasis is data analysis using regression. Statistical Computing A course that combines the foundations of statistical computing done using Tierney's Lisp stat with the development of Web pages that describe research areas in statistics. This course is a mixture of the theory and use of time series methods. Theoretical material focusses upon the properties of stationary time series, emphasizing Hilbert space methods and state-space models.
Applications blend theory with computing.
Simulations are used to check various large sample approximations. The presentation is mostly via examples of applications in statistics, emphasizing regression-type models. Additional topics include the construction of confidence intervals and applications in time series and structural equations.