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Anna Bykhovskaya is an Assistant Professor in the Department of Economics at Duke University, where she focuses on econometric models and their applications in understanding persistent time series data. She completed her Ph.D. at Yale University in 2019, where she developed expertise in co-integration and vector autoregressive processes. Her research includes the exploration of dynamic Tobit models and the application of time series approaches to various economic phenomena, particularly in macroeconomics. Bykhovskaya's work has been published in reputable journals, contributing to the understanding of economic theory through rigorous statistical analysis and empirical research methodologies.
Department of Biomedical Engineering (MS program)