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estimation results show that most endogenous sources of aggregate persistence are dramatically undercut when adaptive learning … multi-period forecasting model that is estimated under both adaptive learning and rational expectations. Term structure … neglected in the adaptive learning literature. Relative to the rational expectations version, our estimated DSGE model under …
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Recent successes in the field of machine learning, as well as the availability of increased sensing and computational … capabilities in modern control systems, have led to a growing interest in learning and data-driven control techniques. Model … summarizing and categorizing previous research on learning-based MPC, i.e., the integration or combination of MPC with learning …
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This paper considers how an investor in the foreign exchange market can exploit predictive information by means of flexible Bayesian inference. Using a variety of different vector autoregressive models, the investor is able, each period, to revise past predictive mistakes and learn about...
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