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How active is active learning : value function method versus an approximation method
Amman, Hans M.; Tucci, Marco Paolo - In: Computational economics 56 (2020) 3, pp. 675-693
Persistent link: https://www.econbiz.de/10012390421
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Special issue: experimentation in economics
Amman, Hans M. (ed.); Tucci, Marco Paolo (ed.) - 2020
Persistent link: https://www.econbiz.de/10012390515
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Nonconvexities in stochastic control models : an analysis
Amman, Hans M.; Kendrick, David A. - 1992
Persistent link: https://www.econbiz.de/10000837647
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Uncertainty in dynamic macroeconomics : a computational challenge
Amman, Hans M.; Kendrick, David A. - 1991
Persistent link: https://www.econbiz.de/10000810684
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Active learning: empricial results
Amman, Hans M.; Kendrick, David A. - 1991
Persistent link: https://www.econbiz.de/10000810685
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Linear quadratic optimization for models with rational expectations
Amman, Hans M.; Kendrick, David A. - 1997
Persistent link: https://www.econbiz.de/10000972454
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An analytical numerical method for solving adaptive control models which include forward-looking variables
Achath, Sudhakar - In: Poverty, environment and economic development : …, (pp. 293-340). 1995
Persistent link: https://www.econbiz.de/10001300363
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Computing the steady state of linear quadratic optimization models with rational expectations
Amman, Hans M. - In: Economics letters 58 (1998) 2, pp. 185-191
Persistent link: https://www.econbiz.de/10001235584
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Nonconvexities in stochastic control models
Amman, Hans M. - In: International economic review 36 (1995) 2, pp. 455-475
Persistent link: https://www.econbiz.de/10001181660
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Solving stochastic optimization models with learning and rational expectations
Amman, Hans M. - In: Economics letters 48 (1995) 1, pp. 9-13
Persistent link: https://www.econbiz.de/10001185487