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Description: Xaq Pitkow closes Bayes day with the advanced uses of Description: The posterior probability distributions we calculated in Tutorials 1-3 provide a complete description of a subject's ... Description: We set up causal inference/ breakdown of ventriloquism as a problem in cue combination and culminate in ... Learning objectives: Understand a prior Understand a posterior Understand the role of subjective beliefs Understand the ... Description: We discuss the goals of the day, introduce the concept of cue combination, and Gaussian distributions, culminating in ... Description: We wrap up the discussion of cue combination with Gaussians, and culminates with a discussion of the context for the ...
This video is part of the course SOR1020 Introduction to Probability and Description: In this video, Konrad Kording explains the concept of “Expected Loss”, the key to finding the optimal estimate under a ... One of the nice things that um you can do uh really easily in in Megan Peters, John Krakauer, Eric DeWitt, hosted by Konrad Kording answer your questions about Athena Akrami and John Krakauer, hosted by Konrad Kording, answer your questions about Athena Akrami, Kenji Doya, Hang Zhang, hosted by Eric DeWitt answer your questions about
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W2D1 Bayesian Statistics Outro
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Last Updated: May 26, 2026
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