A maximum entropy approach to estimation and inference in dynamic models or Counting fish in the sea using maximum entropy
DOI10.1016/0165-1889(95)00864-0zbMath0875.90123OpenAlexW2075994109MaRDI QIDQ1351322
Amos Golan, Larry S. Karp, George G. Judge
Publication date: 27 February 1997
Published in: Journal of Economic Dynamics \& Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0165-1889(95)00864-0
Optimal controlDynamic discrete time systemInverse control problemMaximum entropy principleTime series data
Economic time series analysis (91B84) Application models in control theory (93C95) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Economic growth models (91B62)
Related Items (7)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A Mathematical Theory of Communication
- Stochastic models, estimation, and control. Vol. 1
- Why least squares and maximum entropy? An axiomatic approach to inference for linear inverse problems
- Maximum entropy and Bayesian methods. Proceedings of the 8th workshop, Cambridge, England, August 1-5, 1988
- Bayesian procedures for detecting a change in a sequence of random variables
- A Maximum Entropy Approach to Recovering Information From Multinomial Response Data
- Information Theory and Statistical Mechanics
- An information theoretical approach to inversion problems
- Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy
- Inverse Problem of Linear Optimal Control
This page was built for publication: A maximum entropy approach to estimation and inference in dynamic models or Counting fish in the sea using maximum entropy