Particle filters in decision making problems under uncertainty

Automatika

Volumn 50, Issue 3-4, 2009, Pages 245-251

  Kostanjĉar, Zvonko ^a   Jeren, Branko ^a   Cerovec, Jurica ^a  

^a UNIVERSITY OF ZAGREB   (Croatia)

Author keywords

Particle filters; Scenario trees; Uncertainty representation

Indexed keywords

EID: 77952903903     PISSN: 00051144     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (19)

1. J. M.Mulvey, D. P. Rosenbaum, B. Shetty, Strategic financial riskmanagement and operations research, European Journal of Operational Research, 1997.
2. H. Markowitz, Portfolio selection, Journal of finance, pp. 77-91. 1952.
3. J. M. Mulvey, B. Shetty, Financial planning via mutistage stochastic optimization, Computers & Operations Research, pp. 1-20, 2004.
4. K. Hoyland, S. W. Wallace, Generating Scenario Trees for Multistage Decision Problems, Management Science, pp. 295-307, 2001.
5. V. K. Chopra, W. T. Ziemba, The effect of errors inmeans, variances, and covariances on optimal portfolio choice, Journal of Portfolio Management, pp. 6-11, 1993.
6. P. Jorion, Bayes-Stein estimation for portfolio analysis, The Journal of Financial and Quantitative Analysis, pp. 279-292, 1986.
7. P. Jorion, International portfolio diversification with estimation risk, Journal of Business, pp. 259-278. 1985.
8. R. Kan, G. Zhou, Optimal Portfolio Choice with Parameter Uncertainty, Journal of Financial and Quantitative Analysis, 2007.
9. N. Gülpinar, B. Rustem, R. Settergren, Simulation and optimization approach scenario tree generation, Journal of Economic Dynamics and Control, pp. 1291-1315, 2004.
10. Pflug, G., Scenario tree generation formultiperiod financial optimization by optimal discretization, Mathematical Programming, 251-271, 2001.
11. J. Dupaĉová, G. Consigli, S. W. Wallace, Scenarios for multistage stochastic programs, Baltzer Journals, 2000.
12. X. Yang, Improving Portfolio Efficiency: A Genetic Algorithm Approach, Computational Economics 2006.
13. B. Vitoriano, S. Cerisola, A. Ramos, Generating Scenario Trees for Hydro Inflows, IIT Madrid, http://www.iit.upcomillas.es/\~{}aramos/papers/PMAPS2000\- Vitoriano.pdf, accessed 12 Oct 2009.
14. M. S. Arulampalam, S. Maskell, N. Gordon, T. Clapp, A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking, IEEE Transactions on Signal Processing, 2002.
15. N. Gordon, D. J. Salmond, A. F. Smith, Novel approach to nonlinear/non-Gaussian Bayesian state estimation, IEE Proceedings, 1993.
16. A. Doucet, N. de Freitas, N. Gordon, Sequential Monte Carlo methods in practice, Springer Verlag, New York, 2001.
17. M. Kaut, S. W. Wallace, Evaluation of scenario-generation methods, E-Print Series, 2003.
18. J. Dupaĉová, N. Gröwe-Kuska, W. Römisch, Scenario reduction in stochastic programming - An approach using probability metrics, Mathematical Programming, 2003.
19. N. Gröwe-Kuska, H. Heitsch, W. Römisch, Scenario Reduction and Scenario Tree Construction for Power Management Problems, IEEE Bologna Power Tech Proceedings, 2003.