Model Building and Diagnostics for Massive Data Sets
David W. Scott, (Rice University), firstname.lastname@example.org
The process of statistical modeling is an iterative process, which culminates with model modification if indicated by failure in the diagnostics phase. This process of model modification is an art, but perhaps still poorly understood and difficult to teach. We discuss the extra difficulties in model diagnostics and modification resulting from the extraordinary burdens of working in the world of massive data sets.