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ECONIS (ZBW)
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The parameter set in an adaptive control Monte Carlo experiment : some considerations
Tucci, Marco Paolo
;
Kendrick, David A.
;
Amman, Hans M.
- In:
Journal of economic dynamics & control
34
(
2010
)
9
,
pp. 1531-1549
Persistent link: https://www.econbiz.de/10009125860
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2
The parameter set in an adaptive control Monte Carlo experiment : some considerations
Tucci, Marco Paolo
;
Kendrick, David A.
;
Amman, Hans M.
-
2007
Persistent link: https://www.econbiz.de/10003825394
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3
Approximating the value function for optimal experimentation
Amman, Hans M.
;
Kendrick, David A.
;
Tucci, Marco Paolo
- In:
Macroeconomic dynamics
24
(
2020
)
5
,
pp. 1073-1086
Persistent link: https://www.econbiz.de/10012241293
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4
How active is active learning : value function method vs an approximation method
Amman, Hans M.
;
Tucci, Marco Paolo
-
2018
Persistent link: https://www.econbiz.de/10011921036
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5
The DUAL approach in an infinite horizon model
Amman, Hans M.
;
Tucci, Marco Paolo
-
2017
Persistent link: https://www.econbiz.de/10011853036
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6
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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7
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
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Active learning : Monte Carlo results
Amman, Hans M.
- In:
Journal of economic dynamics & control
18
(
1994
)
1
,
pp. 119-124
Persistent link: https://www.econbiz.de/10001148512
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9
Forward looking variables an learning in stochastic control
Amman, Hans M.
;
Kendrick, David A.
-
1992
Persistent link: https://www.econbiz.de/10000846648
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10
Comparison of policy functions from the optimal learning and adaptive control frameworks
Amman, Hans M.
;
Kendrick, David A.
- In:
Computational Management Science : CMS
11
(
2014
)
3
,
pp. 221-235
Persistent link: https://www.econbiz.de/10010385633
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