No Curse of Dimensionality for Contraction Fixed Points Even in the Worst Case
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References listed on IDEAS
- Rust, John, 1985. "Stationary Equilibrium in a Market for Durable Assets," Econometrica, Econometric Society, vol. 53(4), pages 783-805, July.
- Tauchen, George & Hussey, Robert, 1991. "Quadrature-Based Methods for Obtaining Approximate Solutions to Nonlinear Asset Pricing Models," Econometrica, Econometric Society, vol. 59(2), pages 371-396, March.
- John Rust, 1997.
"Using Randomization to Break the Curse of Dimensionality,"
Econometric Society, vol. 65(3), pages 487-516, May.
- Rust, J., 1994. "Using Randomization to Break the Curse of Dimensionality," Working papers 9429, Wisconsin Madison - Social Systems.
- John Rust & Department of Economics & University of Wisconsin, 1994. "Using Randomization to Break the Curse of Dimensionality," Computational Economics 9403001, EconWPA, revised 19 Nov 1996.
- John Rust, 1997. "A Comparison of Policy Iteration Methods for Solving Continuous-State, Infinite-Horizon Markovian Decision Problems Using Random, Quasi-random, and Deterministic Discretizations," Computational Economics 9704001, EconWPA.
- Spassimir H. Paskov & Joseph F. Traub, 1995. "Faster Valuation of Financial Derivatives," Working Papers 95-03-034, Santa Fe Institute.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Hall, George & Rust, John, 2000.
"An empirical model of inventory investment by durable commodity intermediaries,"
Carnegie-Rochester Conference Series on Public Policy,
Elsevier, vol. 52(1), pages 171-214, June.
- George Hall & John Rust, 1999. "An Empirical Model of Inventory Investment by Durable Commodity Intermediaries," Macroeconomics 9904005, EconWPA.
- George J. Hall & John Rust, 1999. "An Empirical Model of Inventory Investment by Durable Commodity Intermediaries," Cowles Foundation Discussion Papers 1228, Cowles Foundation for Research in Economics, Yale University.
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- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
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