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The rational inattention filter
Maćkowiak, Bartosz; Matějka, Filip; Wiederholt, Mirko - 2017
Dynamic rational inattention problems used to be difficult to solve. This paper provides simple, analytical results for dynamic rational inattention problems. We start from the benchmark rational inattention problem. An agent tracks a variable of interest that follows a Gaussian process. The...
Persistent link: https://www.econbiz.de/10011636897
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Rational inattention in the frequency domain
Jurado, Kyle - In: Journal of economic theory 208 (2023), pp. 1-23
Persistent link: https://www.econbiz.de/10014390487
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Perpetual learning and apparent long memory
Chevillon, Guillaume; Mavroeidis, Sophocles - In: Journal of economic dynamics & control 90 (2018), pp. 343-365
Persistent link: https://www.econbiz.de/10011974089
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Long memory in financial markets : a heterogeneous agent model perspective
Zheng, Min; Liu, Ruipeng; Li, Youwei - In: International review of financial analysis 58 (2018), pp. 38-51
Persistent link: https://www.econbiz.de/10012006389
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Bounded rationality, very young financial markets and the EU enlargement
Agapie, Adriana - In: East European transition and EU enlargement : a …, (pp. 1-17). 2002
Persistent link: https://www.econbiz.de/10001686464
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Quantile Filtering and Learning
Johannes, Michael S.; Polson, Nick; Yae, James - 2011
applied to state filtering and sequential parameter learning. This paper introduces robust state space models whose error …
Persistent link: https://www.econbiz.de/10014200732
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Fan charts in era of big data and learning
Baruník, Jozef; Hanus, Luboš - In: Finance research letters 61 (2024), pp. 1-7
Persistent link: https://www.econbiz.de/10014490768
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Stock price ranking by learning pairwise preferences
Tas, Engin; Atli, Ayca Hatice - In: Computational economics 63 (2024) 2, pp. 513-528
Persistent link: https://www.econbiz.de/10014472383
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Convergence of finite memory Q learning for POMDPs and near optimality of learned policies under filter stability
Kara, Ali Devran; Yüksel, Serdar - In: Mathematics of operations research 48 (2023) 4, pp. 2066-2093
Persistent link: https://www.econbiz.de/10014437816
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Machine learning advances for time series forecasting
Masini, Ricardo P.; Medeiros, Marcelo C.; Mendes, Eduardo F. - In: Journal of economic surveys 37 (2023) 1, pp. 76-111
Persistent link: https://www.econbiz.de/10014287800