Multi-event decision making over multivariate time series

International Journal of Information and Decision Sciences

Volumn 5, Issue 3, 2013, Pages 263-282

  Ngan, Chun Kit ^a   Brodsky, Alexander ^a   Lin, Jessica ^a  

^a George Mason University   (United States)

Author keywords

Decision support; Multivariate time series; Prediction; Statistical learning

Indexed keywords

EID: 84893125195     PISSN: 17567017     EISSN: 17567025     Source Type: Journal    
DOI: 10.1504/IJIDS.2013.055925     Document Type: Article

References (23)

1. Bellman, R. (1957) Dynamic Programming, Princeton University Press, Princetion.
2. Bellman, R. (1961) Adaptive Control Processes: A Guided Tour, Princeton University Press, Princetion.
3. Bentley, J.L. (1975) 'Multidimensional binary search trees used for associative searching', Communications of the ACM, Vol. 18, No. 9, pp.509-517.
4. Bentley, J.L. (1979) 'Multidimensional binary search trees in database applications', IEEE Transactions on Software Engineering, Vol. 5, No. 4, pp.333-340.
5. Bickel, P., Ritov, Y. and Ryden, T. (1998) 'Asymptotic normality of the maximum-likelihood estimator for general hidden Markov models', The Annuals of Statistics, Vol. 26, No. 4, pp.1614- 1635.
6. Bierens, J. (2008) 'The logit model: estimation, testing, and interpretation', Department of Economics, Pennsylvania State University.
7. Bisgaard, S. and Kulahci, M. (2011) Time Series Analysis and Forecasting by Example, John Wiley & Sons, Inc., Hoboken, New Jersey.
8. Chatfield, C. (2001) Time-Series Forecasting, Chapman & Hall/CRC, Boca Raton, Florida.
9. Conejo, A.J., Castillo, E., Minguez, R. and Garcia-Bertrand, R. (2006) Decomposition Techniques in Mathematical Programming, Springer-Verlag, Berin Heidelberg.
10. Cook, D. et al. (2000) 'Binary response and logistic regression analysis', NSF/ILI Project: Beyond Traditional Statistical Methods.
11. Dougherty, C. (2007) Introduction to Econometrics, 3rd ed., Oxford University Press, Great Clarendon Street, Oxford.
12. Evans, J.R. (2010) Statistics, Data Analysis, and Decision Modeling, 4th ed., Pearson Education, Inc., Upper Saddle River, New Jersey.
13. Hansen, B.E. (2010) Econometrics, University of Wisconsin. http://www.ssc.wisc.edu/~bhansen/econometrics/Econometrics.pdf (accessed on 18 January 2012).
14. Heij, D., De Boer, P., Franses, P.H., Kloek, T. and Van Dijk, H.K. (2004) Econometric Methods with Applications in Business and Economics, Oxford University Press, Great Clarendon Street, Oxford.
15. ILOG S.A. and ILOG, Inc. (2007) ILOG CPLEX 11.0 User's Manual, available at http://www-eio.upc.es/lceio/manuals/cplex-11/html/(accessed on 12 August 2011).
16. Maheu, J. and McCurdy, T. (2000) 'Identifying bull and bear markets in stock returns', Journal of Business & Economic Statistics, Vol. 18, No. 1, pp.100-112.
17. Myung, J. (2003) 'Tutorial on maximum likelihood estimation', Journal of Mathematical Psychology, Vol. 47, No. 1, pp.90-100.
18. Ngan, C.K., Brodsky, A. and Lin, J. (2010) 'Decisions on multivariate time series: combining domain knowledge with utility maximization', The 15th IFIP WG8.3 International Conference on Decision Support Systems.
19. Ngan, C.K., Brodsky, A. and Lin, J. (2011) 'A service framework for learning, querying and monitoring multivariate time series', ICEIS 2011.
20. Samet, H. (2006) Foundations of Multidimensional and Metric Data Structures, Morgan Kaufmann, San Francisco, CA.
21. Sarker, R.A. and Newton, C.S. (2008) Optimization Model: A Practical Approach, CRC Press, Taylor & Francis Group, Boca Raton, Florida.
22. Stack, J.B. (2009) 'Technical and monetary investment analysis', InvesTech Research, Vol. 9, Nos. 3, pp.1-8.
23. Winston, W. (2003) Operations Research: Applications and Algorithms, 4th ed., Duxbury Press, Pacific Grove, CA.