Robert L. Wolpert


Professor of Statistical Science

  • Spatial statistics, extreme events, stochastic processes and non-parametric Bayesian analysis.
  • Modeling and decision support in complex environmental systems. Examples include: assessing avian mortality at wind farms; forecasting volcanic activity; transport and fate of water-borne pollutants; forest ecology and biodiversity.
  • Statistical synthesis of information, including meta-analysis and hierarchical models, and data fusion.
  • Statistical issues arising in contemporary astrophysics, observational cosmology, and high-energy nuclear physics. Examples include exoplanet resolution, multi-messenger astrophysics, gamma ray burst resolution.