Online customer identification based on Bayesian model of interpurchase times and recency

DOI10.1080/00207720802011274zbMath1283.93295OpenAlexW2054259455MaRDI QIDQ5402769

Shu-Chuan Lo

Publication date: 17 March 2014

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207720802011274

zbMATH Keywords

Markov chain Monte Carlo methodfinite mixture modelhierarchical Bayesbehavioural relationship strengthheterogeneity across customers

Mathematics Subject Classification ID

Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Identification in stochastic control theory (93E12) Internet topics (68M11)

Uses Software

• BUGS

Cites Work

• Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting
• Counting your customers: Compounding customer's in-store decisions, interpurchase time and repurchasing behavior
• Customer attrition analysis for financial services using proportional hazard models
• Markov chains for exploring posterior distributions. (With discussion)
• Sampling-Based Approaches to Calculating Marginal Densities

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