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The Bayesian challenge: complexity that pays off
The FDA has released draft guidance on how sponsors can use Bayesian models for clinical trials.
This repository holds open source Stan models, data simulators, and real data. There are models translating those found in books, most of the BUGS examples, and some basic examples used in the manual.
The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...
This file tries to take aspects of the Bayesian workflow paper by Gelman and colleagues and apply them to an example scenario in experimental psychology / cognitive neuroscience. The workflow that I ...
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