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This is a mathematically heavy treatment of how generative Bayesian Hierarchical models can be used to estimate various properties of data obtained from individual observations.

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Generative Bayesian Hierarchical Models for Individual Observations

This is a mathematically heavy treatment of how generative Bayesian Hierarchical models can be used to estimate various properties of data obtained from individual observations. Originally written on March 2000.

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I'm sharing this work under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license. See the LICENSE file for more information.

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This is a mathematically heavy treatment of how generative Bayesian Hierarchical models can be used to estimate various properties of data obtained from individual observations.

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