Exploring W2d1 Bayesian Statistics Tutorial 1 Part 4
Exploring W2d1 Bayesian Statistics Tutorial 1 Part 4 reveals several interesting facts.
- Description: It's easy to make optimal decisions! In this video, Konrad Kording shows how certain loss functions lead us to choose ...
- Description: In this video, Konrad Kording explains the concept of “Expected Loss”, the key to finding the optimal estimate under a ...
- Description: This video concludes our series on
- Description: We discuss how to analytically multiply two Gaussians, build intuition for what the properties of these equations are ...
- Description: We set up causal inference/ breakdown of ventriloquism as a problem in cue combination and culminate in ...
In-Depth Information on W2d1 Bayesian Statistics Tutorial 1 Part 4
Description: We wrap up the discussion of cue combination with Gaussians, and culminates with a discussion of the context for the ... Description: The posterior probability distributions we calculated in Description: We discuss the goals of the day, introduce the concept of cue combination, and Gaussian distributions, culminating in ... Learning objectives: Understand a prior Understand a posterior Understand the role of subjective beliefs Understand the ...
Description: Xaq Pitkow closes Bayes day with the advanced uses of
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