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Estimating the Likelihood of Purchase
At the heart of our method for predicting consumer behavior is what we call the likelihood function. The function estimates the likelihood (Li) that a customer or household (i) will purchase a given product at a given time:
where:
Ri is the number of interpurchase times for customer or household i
if the ri th interpurchase time extends
beyond the observation window
otherwise
if product j is bought by customer or household i at time t; the probability that ijt =1 is Pij (t)
otherwise; the probability that ijt = 0 is (1—Pij (t))
and ƒi (•) and Si (•) denote the density and survivor functions, respectively.
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