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 jaketae.github.io
A sneak peek at Bayesian Inference - Jake Tae
| | deepai.org
Bayesian Inference Definition | DeepAI
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| | Bayesian inference refers to the application of Bayes' Theorem in determining the updated probability of a hypothesis given new information.
| | www.randomservices.org
Continuous Distributions
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| | alexanderetz.com
Understanding Bayes: A Look at the Likelihood | The Etz-Files
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| | [This post has been updated and turned into a paper to be published in AMPPS] Much of the discussion in psychology surrounding Bayesian inference focuses on priors. Should we embrace priors, or should we be skeptical? When are Bayesian methods sensitive to specification of the prior, and when do the data effectively overwhelm it? Should...
| | blog.evjang.com
Eric Jang: Normalizing Flows Tutorial, Part 2: Modern Normalizing Flows
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| This tutorial will show you how to use normalizing flows like MAF, IAF, and Real-NVP to deform an isotropic 2D Gaussian into a complex cl...