On the Propagation of Uncertainty in Network Summaries - Eric Kolaczyk, Boston University

On the Propagation of Uncertainty in Network Summaries - Eric Kolaczyk, Boston University

Explore the propagation of uncertainty in network summaries through this 42-minute lecture by Eric Kolaczyk from Boston University, presented at the Alan Turing Institute. Delve into complex networks, noise characterization, and estimation techniques, including the Skellam distribution and normal approximations. Examine dependent errors, general treatments, and practical applications in gene coexpression networks. Gain insights into statistical analysis of network-indexed data, with a focus on methodology development and interdisciplinary applications in bioinformatics, computer science, geography, neuroscience, and sociology.