The parameter set in an adaptive control Monte Carlo experiment: some considerations

DOI10.1016/j.jedc.2010.06.014zbMath1231.91367OpenAlexW2111939487MaRDI QIDQ602847

David A. Kendrick, Marco P. Tucci, Hans M. Amman

Publication date: 5 November 2010

Published in: Journal of Economic Dynamics \& Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jedc.2010.06.014

zbMATH Keywords

stochastic optimizationnumerical experimentstime-varying parametersactive learningdual controloptimal experimentation

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Feedback control (93B52) Stochastic models in economics (91B70) Optimal stochastic control (93E20)

Related Items (1)

Solving the Beck and Wieland model with optimal experimentation in \textit{DualPC}

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Optimal experimentation and the perturbation method in the neighborhood of the augmented linear regulator problem
• A classification system for economic stochastic control models
• Nonconvexities in a stochastic control problem with learning
• The nonconvexities problem in adaptive control models: A simple computational solution
• Adaptive control in the presence of time-varying parameters
• Learning and control in a changing economic environment.
• Solving the Beck and Wieland model with optimal experimentation in \textit{DualPC}
• An Adaptive Learning Rule for Multiperiod Decision Problems
• Nonconvexities in Stochastic Control Models
• An actively adaptive control for linear systems with random parameters via the dual control approach
• The rational expectation hypothesis, time-varying parameters and adaptive control. A promising combination?

This page was built for publication: The parameter set in an adaptive control Monte Carlo experiment: some considerations