Solving, Estimating, and Selecting Nonlinear Dynamic Models Without The Curse of Dimensionality.
We present a comprehensive framework for Bayesian estimation of structural nonlinear dynamic economic models on sparse grids to overcome the curse of dimensionality for approximations. We apply sparse grids to a global polynomial approximation of the model solution, to the quadrature of integrals ar...
| Published in: | Econometrica Vol. 78; no. 2; pp. 803 - 822 |
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| Main Authors: | , |
| Format: | Article |
| Published: |
Wiley-Blackwell
March 2010
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |