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David Pollard is a Professor Emeritus in the Applied Mathematics Program at Yale University, specializing in statistical theory and its applications. His research focuses on areas such as weak convergence, empirical processes, stochastic processes, asymptotics, semiparametric models, and econometrics. With a significant academic background, he has contributed extensively to the field of statistics and data science, making strides in understanding complex statistical methodologies. His work often bridges the gap between theoretical advancements and practical applications, providing valuable insights that benefit both academic research and real-world problem-solving. Pollard's influence extends through his teaching and mentorship of students, helping to shape the next generation of statisticians and data scientists, as well as through his published works that continue to be cited in the field.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.