Nonconvexities in a stochastic control problem with learning
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- repec:use:tkiwps:2020 is not listed on IDEAS
- Tucci, Marco P. & Kendrick, David A. & Amman, Hans M., 2010.
"The parameter set in an adaptive control Monte Carlo experiment: Some considerations,"
Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1531-1549, September.
- Marco P. Tucci & David A. Kendrick & Hans M. Amman, 2007. "The Parameter Set in an Adaptive Control Monte Carlo Experiment: Some Considerations," Department of Economics University of Siena 507, Department of Economics, University of Siena.
- Marco P. Tucci & David A. Kendrick & Hans M. Amman, 2010. "The parameter set in an adaptive control Monte Carlo experiment: Some considerations," Post-Print hal-00732676, HAL.
- Wieland, Volker, 2000.
"Monetary policy, parameter uncertainty and optimal learning,"
Journal of Monetary Economics, Elsevier, vol. 46(1), pages 199-228, August.
- Wieland, Volker, 1999. "Monetary policy, parameter uncertainty and optimal learning," ZEI Working Papers B 09-1999, University of Bonn, ZEI - Center for European Integration Studies.
- Volker W. Wieland, 1999. "Monetary policy, parameter uncertainty and optimal learning," Finance and Economics Discussion Series 1999-48, Board of Governors of the Federal Reserve System (U.S.).
- Volker Wieland, "undated".
"Monetary Policy and Uncertainty about the Natural Unemployment Rate,"
Computing in Economics and Finance 1997
11, Society for Computational Economics.
- Volker W. Wieland, 1998. "Monetary policy and uncertainty about the natural unemployment rate," Finance and Economics Discussion Series 1998-22, Board of Governors of the Federal Reserve System (U.S.).
- Wieland, Volker, 2003. "Monetary Policy and Uncertainty about the Natural Unemployment Rate," CFS Working Paper Series 2003/05, Center for Financial Studies (CFS).
- Wieland, Volker, 2003. "Monetary Policy and Uncertainty about the Natural Unemployment Rate," CEPR Discussion Papers 3811, C.E.P.R. Discussion Papers.
- D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.
- David Kendrick & Hans Amman, 2006.
"A Classification System for Economic Stochastic Control Models,"
Computational Economics, Springer;Society for Computational Economics, vol. 27(4), pages 453-481, June.
- Hans M. Amman & David A. Kendrick, 2003. "A Classification System for Economic Stochastic Control Models," Computing in Economics and Finance 2003 114, Society for Computational Economics.
- Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
- Wieland, Volker, 2000.
"Learning by doing and the value of optimal experimentation,"
Journal of Economic Dynamics and Control, Elsevier, vol. 24(4), pages 501-534, April.
- Volker W. Wieland, 1996. "Learning by doing and the value of optimal experimentation," Finance and Economics Discussion Series 96-5, Board of Governors of the Federal Reserve System (U.S.).
- V. Blueschke-Nikolaeva & D. Blueschke & R. Neck, 2020. "OPTCON3: An Active Learning Control Algorithm for Nonlinear Quadratic Stochastic Problems," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 145-162, June.
- Beck, Gunter W. & Wieland, Volker, 2002. "Learning and control in a changing economic environment," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1359-1377, August.
- Tucci, Marco P., 2002. "A note on global optimization in adaptive control, econometrics and macroeconomics," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1739-1764, August.
- Marco Tucci, 2006. "Understanding the Difference Between Robust Control and Optimal Control in a Linear Discrete-Time System with Time-Varying Parameters," Computational Economics, Springer;Society for Computational Economics, vol. 27(4), pages 533-558, June.
- Bond, Craig A., 2008. "On the Potential Use of Adaptive Control Methods for Improving Adaptive Natural Resource Management," Working Papers 108721, Colorado State University, Department of Agricultural and Resource Economics.
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