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Mona Azadkia's research is centered on advancing methodologies to analyze and quantify dependency structures in data. Her work focuses on developing interpretable measures of dependence and conditional dependence among variables, which play a key role in various statistical tasks such as variable selection, dimensionality reduction, sensitivity analysis, causal inference, and hypothesis testing. With a strong background in statistics, she is actively involved in research that addresses complex issues in data analysis, contributing to the field through her innovative approaches and publications.
Standard English requirement applies to most programs in Geography, Anthropology, Sociology, and Media.