Curriculum Vitae

Projects
Academic Activities
  • Directed Reading Program (Spring 2026)
    The Importance of Model Specification in Statistical Conclusions
    This presentation explains how model specification (our choice of variables and model) can lead to different conclusions from the same data. This is related to concepts such as identifiability, the bias–variance tradeoff, and the distinction between prediction and inference.