A simulation approach to optimal stopping under partial information
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Cited by:
- Li Kai & Nyström Kaj & Olofsson Marcus, 2015. "Optimal switching problems under partial information," Monte Carlo Methods and Applications, De Gruyter, vol. 21(2), pages 91-120, June.
- Sérgio C. Bezerra & Alberto Ohashi & Francesco Russo & Francys Souza, 2020. "Discrete-type Approximations for Non-Markovian Optimal Stopping Problems: Part II," Methodology and Computing in Applied Probability, Springer, vol. 22(3), pages 1221-1255, September.
- Adesoji O. Adelaja & Ramyani Mukhopadhyay, 2022. "Time‐to‐completion for mergers and acquisitions in the food and agribusiness industry," Agribusiness, John Wiley & Sons, Ltd., vol. 38(3), pages 579-607, July.
- S'ergio C. Bezerra & Alberto Ohashi & Francesco Russo & Francys de Souza, 2017. "Discrete-type approximations for non-Markovian optimal stopping problems: Part II," Papers 1707.05250, arXiv.org, revised Dec 2019.
- Dorival Le~ao & Alberto Ohashi & Francesco Russo, 2017. "Discrete-type approximations for non-Markovian optimal stopping problems: Part I," Papers 1707.05234, arXiv.org, revised Jun 2019.
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Keywords
Optimal stopping Nonlinear filtering Particle filters Snell envelope Regression Monte Carlo;Statistics
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