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quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves getting Bayesian type uncertainty for parameters given data (i.e., a posterior type distribution
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development, interprofessional education, and engagement in college level committee work. Additionally, the postdoctoral fellow would support the instructional needs of the Graduate School of Professional
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community partners. Please visit our websites for more information about the BCCVH (https://www.bcvulvarhealth.ca/ ) and Dr. Bouchard’s research lab (https://phaselab.med.ubc.ca/ ). Dr. Katrina Bouchard is a
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for parameters given data (i.e., a posterior type distribution over the parameter space) without specifying a model nor a prior. Such methods can in principle be applied to machine learning algorithms in order to