Customer Event Rate Estimation Using Particle Filters

Honnappa, H.

Estimating the rate at which events happen has been studied under various guises and in different settings. We are interested in the specific case of consumerinitiated events or transactions (credit/debit card transactions, mobile phone calls, online purchases, etc.), and the modeling of such behavior, in order to estimate the rate at which such transactions are made. In this paper, we detail a model of such events and a Bayesian approach, utilizing Sequential Monte Carlo technology, to online estimation of the event rate from event observations alone.

Cite as: Honnappa, H. (2008). Customer Event Rate Estimation Using Particle Filters. In Proc. Seventh Australasian Data Mining Conference (AusDM 2008), Glenelg, South Australia. CRPIT, 87. Roddick, J. F., Li, J., Christen, P. and Kennedy, P. J., Eds. ACS. 61-72.

(from crpit.com) (local if available)