CANCELLED: BC Data Colloquium: Richard Lockart

Penalized regression methods permit data analysts to fit models with more adjustable parameters than data points by imposing strong prior assumptions on the relationships between variables. As a result classical tools of uncertainty assessment no longer work. I have been involved in one approach to uncertainty assessment for problems of this sort. I will try to summarize the issues and contrast the current approaches.