Ratio With Shrinkage
Performs empirical bayesian estimation with shrinkage towards a beta prior. Given a dataset with a numerator and a denominator, will calculate the raw ratio as numerator / denom, as well as provide an adjusted ratio that shrinks the ratio towards the observed beta prior.
This is a simplified version that establishes the priors directly from the data given a min_cutoff count of observations.
NOTE: your data should already be aggregated before performing this operation.
Parameters
numerator
column
A column that is pre-aggregated to contain the count of positive cases
denom
column
A column that is pre-aggregated to contain the count of ALL cases
min_cutoff
int
Enter a minimum value to limit the denominator when creating the prior estimates. Example: if estimating a batter's hitting percentage, entering 500 would limit the estimation of the priors to be only for batters with over 500 at-bats.
Example
ds = rasgo.get.dataset(fqtn="BATTING_AVERAGES")
ds2 = ds.ratio_with_shrinkage(numerator = 'HITS',
denom = 'AT_BATS',
min_cutoff = 500)
Source Code
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