Advanced simulation-based methods for optimal stopping and control. (2017)
- Record Type:
- Book
- Title:
- Advanced simulation-based methods for optimal stopping and control. (2017)
- Main Title:
- Advanced simulation-based methods for optimal stopping and control
- Further Information:
- Note: Denis Belomestny, John Schoenmakers.
- Authors:
- Belomestny, Denis
Schoenmakers, John - Contents:
- 1. Introduction 2.- Basics of Monte Carlo methods 3.- Basics of standard optimal stopping, multiple stopping, and optimal control problem 4.- Dual representations for standard optimal stopping, multiple stopping, and optimal control problems. 5.- Primal algorithms for optimal stopping problems: regression algorithms, optimization algorithms, policy iteration. Extensions to multiple stopping, examples. 6.- Multilevel primal algorithms. 7.- Multilevel dual algorithms 8.- Convergence analysis of primal algorithms. 9.- Convergence analysis of dual algorithms. 10.- Consumption based approaches. 11.- Dimension reduction for primal algorithms. 12.- Variance reduction for dual algorithms. 13.- Conclusion.
- Publisher Details:
- Basingstoke, Hampshire : Palgrave Macmillan
- Publication Date:
- 2017
- Extent:
- 1 online resource, illustrations (black and white)
- Subjects:
- 332.01518282
Finance -- Mathematical models
Monte Carlo method
Optimal stopping (Mathematical statistics) - Languages:
- English
- ISBNs:
- 9781137033512
- Related ISBNs:
- 9781137033505
- Notes:
- Note: Description based on CIP data; resource not viewed.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.295952
- Ingest File:
- 01_211.xml