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 ...
According to the Bayesian brain hypothesis, neural circuits carry out statistical computations by combining prior knowledge with new evidence, combining multiple sources of information according to ...
ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
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