From Small Data to Big Data and Back: Statistics and Data Science - Rothschild Lecture

Explore the evolution of statistics from small to big data in this Rothschild Lecture by Professor Peter Bickel. Delve into the historical foundations of modern statistics, tracing its development from R.A. Fisher's seminal work to the challenges posed by big data. Examine how the increasing size, complexity, and heterogeneity of datasets have transformed statistical analysis. Investigate key issues in contemporary data science, including computation, prediction, sparsity and dimension reduction, stability and robustness, and the reduction of big data to small data. Gain insights into the theoretical foundations of statistical network analysis and the adaptation of statistical methods to meet the demands of the big data era.