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Beth Andrews is an Associate Professor in the Department of Statistics and Data Science at Northwestern University. She earned her Ph.D. from Colorado State University in 2003. Her research interests span areas such as time series analysis, spatial statistics, and stochastic processes applications. Andrews focuses on modeling and prediction of nonlinear and non-Gaussian processes observed in space and time, with significant applications in economics, finance, geosciences, and signal processing. Her work also includes robust statistics and extreme value theory, where she has contributed to the development of rank-based estimation techniques for autoregressive moving average time series models and GARCH processes. Throughout her career, Andrews has authored several influential publications, including works in renowned journals such as the Journal of Time Series Analysis and the Annals of Statistics, highlighting her expertise in statistical methods and their applications.
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