Leading Expert in Bayesian Statistics and Biomedical Data Analysis at UC Santa Cruz
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Raquel Prado is a Professor of Statistics in the Jack Baskin School of Engineering at the University of California, Santa Cruz, where she has been a faculty member since 2001. She holds a Ph.D. in Statistics and Decision Sciences from Duke University and is a Fellow of both the American Statistical Association (ASA) and the International Society for Bayesian Analysis (ISBA). Her research focuses on developing and implementing modeling, inference, and prediction tools for data with temporal and spatio-temporal structures, particularly in analyzing non-stationary and large-dimensional biomedical signals and neuroimaging data. Prado has published extensively, including the book Time Series: Modeling, Computation, and Inference (second edition co-authored with Marco Ferreira and Mike West).