A statistical model for the temporal pattern of individual automated teller machine withdrawals

Journal of the Royal Statistical Society. Series C: Applied Statistics

Volumn 57, Issue 1, 2008, Pages 43-59

  Brentnall, Adam R ^a   Crowder, Martin J ^a   Hand, David J ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Automated teller machine; Consumer; Point process; Prediction; Random effects; Retail financial services

Indexed keywords

EID: 38149039258     PISSN: 00359254     EISSN: 14679876     Source Type: Journal    
DOI: 10.1111/j.1467-9876.2007.00599.x     Document Type: Article

References (9)

1. Booth, J. G. Hobert, J. P. (1999) Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm. J. R. Statist. Soc. B, 61, 265 285.
2. Caffo, B. S., Jank, W. Jones, G. L. (2005) Ascent-based Monte Carlo expectation-maximization. J. R. Statist. Soc. B, 67, 235 251.
3. Cox, D. R. Isham, V. (1980) Point Processes. London : Chapman and Hall-CRC.
4. Cox, D. R. Lewis, P. A. W. (1966) Statistical Analysis of Series of Events. London : Methuen.
5. Davison, A. C. (2003) Statistical Models. Cambridge : Cambridge University Press.
6. Geyer, C. J. Thompson, E. A. (1992) Constrained Monte Carlo maximum likelihood for dependent data (with discussion). J. R. Statist. Soc. B, 54, 657 699.
7. Lucas, Jr., R. E. (1976) Econometric policy evaluation: a critique. Carn. Roch. Conf. Ser. Publ. Poly, 1, 19 46.
8. McCulloch, C. E. (1997) Maximum likelihood algorithms for generalized linear mixed models. J. Am. Statist. Ass., 92, 162 170.
9. Thomas, L. C., Oliver, R. W. Hand, D. J. (2005) A survey of the issues in consumer credit modelling research. J. Oper. Res. Soc., 56, 1006 1015.