Lauren Kennedy, a Business Analytics lecturer at Monash University, discusses the complexities of multilevel regression and post-stratification (MRP) for analyzing non-representative data. She shares insights on how structured priors can enhance demographic analysis, addresses the challenges of missing data imputation, and highlights the importance of causal inference in social sciences. Additionally, Kennedy emphasizes teaching Bayesian methods through practical workflows, ethical considerations in data analytics, and the necessity for inclusivity in statistical research.
