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Concept
Hierarchical Bayesian Models
Hierarchical Bayesian Models
are a class of
statistical models
that allow for the incorporation of
multiple levels of uncertainty
and variability, enabling more
nuanced inferences
by
modeling data
at
different levels of hierarchy
. These models are particularly useful for analyzing data with
nested structures
, such as
repeated measurements
or
grouped data
, by allowing parameters to be
shared across different levels
of the hierarchy,
improving estimates
and predictions.
Relevant Degrees
Probability and Statistics 75%
Computer Science and Data Processing 25%
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