Berardi, Michele (2019): A probabilistic interpretation of the constant gain algorithm.
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Abstract
This paper proposes a novel interpretation of the constant gain learning algorithm through a probabilistic setting with Bayesian updating. Such framework allows to understand the gain coefficient in terms of the probability of changes in the estimated quantity.
Item Type: | MPRA Paper |
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Original Title: | A probabilistic interpretation of the constant gain algorithm |
Language: | English |
Keywords: | Bayesian learning, adaptive learning, constant gain. |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D83 - Search ; Learning ; Information and Knowledge ; Communication ; Belief ; Unawareness D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D84 - Expectations ; Speculations D - Microeconomics > D9 - Intertemporal Choice > D90 - General |
Item ID: | 94023 |
Depositing User: | Michele Berardi |
Date Deposited: | 21 May 2019 16:09 |
Last Modified: | 01 Oct 2019 12:47 |
References: | Berardi, M., Galimberti, J.K., 2013. A note on exact correspondences between adaptive learning algorithms and the kalman filter. Economics Letters 118, 139--142. Berardi, M., Galimberti, J.K., 2017. Empirical calibration of adaptive learning. Journal of Economic Behavior and Organization 144, 219-237. Evans, G.W., Honkapohja, S., 2001. Learning and Expectations in Macroeconomics. Princeton University Press. Eusepi, S., Preston, B., 2011. Expectations, learning, and business cycle fluctuations. American Economic Review 101, 2844--2872. Milani, F., 2011. Expectation shocks and learning as drivers of the business cycle. The Economic Journal 121, 379--401. Muth, J.F., 1960. Optimal Properties of Exponentially Weighted Forecasts. Journal of the American Statistical Association 55, 299-306. Sargent, T.J., 1999. The Conquest of American Inflation. Princeton, NJ: Princeton University Press. Sargent, T.J., Williams, N., Zha, T., 2006. Shocks and government beliefs: the rise and fall of American inflation. American Economic Review 96, 1193-1224. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/94023 |