This seminar will cover conceptual arguments and examples suggesting that the Bayesian approach to survey inference can address the varied challenges of survey analysis. The speaker will discuss how Bayesian models that incorporate features of the complex design can yield inferences that are relevant to the specific data set obtained, but also have good repeated-sampling properties. Examples will focus on the role of auxiliary variables and sampling weights and methods for handling nonresponse.
About the Award
This annual award, supported by colleagues, friends and family, was established to honor Dr. Marvin Zelen’s long and distinguished career as a statistician and his major role in shaping the field of biostatistics.
The award recognizes an individual in government, industry, or academia, who by virtue of his/her outstanding leadership, has greatly impacted the theory and practice of statistical science. While individual accomplishments are considered, the most distinguishing criterion is the awardee’s contribution to the creation of an environment in which statistical science and its applications have flourished. The award recipient will deliver a virtual lecture on statistical science and will be presented with a citation and an honorarium.