I am working with data sets of offers (1, 2, ... n) and how well they perform over many impressions.
Currently the most recent data (30 days) is used to aggregate the raw performance stats into distinct probabilities for each offer. Is there any numerical method that weights the more recent data when aggregating data, with the assumption that the most recent data is more accurate? Or is there any method that takes, say 10% the probability from the last 30 days, and 90% from the last 7 days to produce an overall probability.
Is there a name for this problem?