Raquel Prado


Dr. Prado is a statistician whose research deals with sophisticated Bayesian time series methods to analyze complex and large-dimensional data that arise in various biomedical applications. She is currently working on developing statistical models and computational tools for the analysis of brain signals that are recorded in clinical and non-clinical neuroscience studies, such as electroencephalograms, fMRI data, and magnetoencephalograms.


Applied Mathematics And Statistics Applications Of Bayesian Analysis To Biomedical Signal Processing

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