Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine
Bayesian statistical procedures use probabilistic models and probability distributions to summarize data, estimate unknown quantities of interest, and predict future observations. The procedures borrow strength from other observations in the dataset by using prior distributions and/or hierarchical m...
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| Language: | English |
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2018
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| Online Access: | https://doi.org/10.7916/D8VD8FXF |