A Tabu Search heuristic procedure in Markov chain bootstrapping
Journal article
Cerqueti, R, Falbo, P, Guastaroba, G and Pelizzari, C (2013). A Tabu Search heuristic procedure in Markov chain bootstrapping. European Journal of Operational Research. 227 (2), pp. 367-384. https://doi.org/10.1016/j.ejor.2012.11.009
Authors | Cerqueti, R, Falbo, P, Guastaroba, G and Pelizzari, C |
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Abstract | Markov chain theory is proving to be a powerful approach to bootstrap nite states processes, especially where time dependence is non linear. In this work we extend such approach to bootstrap discrete time continuous-valued processes. To this purpose we solve a minimization problem to partition the state space of a continuous-valued process into a nite number of intervals or unions of intervals (i.e. its states) and identify the time lags which provide \memory" to the process. A distance is used as objective function to |
Keywords | Markov Chains; Bootstrapping; Heuristic Algorithms; Tabu Search; Electricity Prices |
Year | 2013 |
Journal | European Journal of Operational Research |
Journal citation | 227 (2), pp. 367-384 |
Publisher | Elsevier BV |
ISSN | 0377-2217 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.ejor.2012.11.009 |
Publication dates | |
01 Jun 2013 | |
Online | 26 Nov 2012 |
Publication process dates | |
Accepted | 12 Nov 2012 |
Deposited | 06 Apr 2020 |
Accepted author manuscript | License File Access Level Controlled |
https://openresearch.lsbu.ac.uk/item/896vx
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