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Neural homophily : similar neural responses predict friendship
Parkinson, Carolyn; Kleinbaum, Adam M.; Wheatley, Thalia - 2017
Persistent link: https://www.econbiz.de/10011756735
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Modeling credit approval data with neural networks : an experimental investigation and optimization
Chi, Guotai; Abedin, Mohammad Zoynul; Moula, Fahmida E. - In: Journal of business economics and management 18 (2017) 2, pp. 224-240
Persistent link: https://www.econbiz.de/10011721773
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Using non-parametric search algorithm to forecast daily excess stock returns
Joseph, Nathan Lael; Brée, David S.; Kalyvas, Efstathios - In: Applications of artificial intelligence in finance and …, (pp. 93-125). 2004
Persistent link: https://www.econbiz.de/10002797260
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Crude Oil Price Forecasting : Experimental Evidence from Wavelet Decomposition and Neural Network Modelling
Jammazi, Rania - 2012
Oil price prediction has usually proved to be an intractable task due to the intrinsic complexity of oil market mechanism. In addition, the recent oil shock and its consequences relaunch the debate on understanding the behaviour underlying the expected oil prices. Combining the dynamic...
Persistent link: https://www.econbiz.de/10013114327
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Can machine learning approaches predict corporate bankruptcy? : evidence from a qualitative experimental design
Lahmiri, Salim; Bekiros, Stelios - In: Quantitative finance 19 (2019) 9, pp. 1569-1577
Persistent link: https://www.econbiz.de/10012194807
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A neural network with shared dynamics for multi‐step prediction of value‐at‐risk and volatility
Baştürk, Nalan; Schotman, Peter C.; Schyns, Hugo - 2022
Persistent link: https://www.econbiz.de/10013539142
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Investment portfolio optimization based on modern portfolio theory and deep learning models
Wysocki, Maciej; Sakowski, Paweł - 2022
Persistent link: https://www.econbiz.de/10013473216
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Dopamine and Reward Prediction Error : An Axiomatic Approach to Neuroeconomics
Caplin, Andrew - 2007
Reinforcement learning theory has produced important insights into economic behavior. Intriguingly, neuroscientists … characterizes the empirical implications of this theory for an idealized data set comprising both neuroscientific measurements and …
Persistent link: https://www.econbiz.de/10012730189
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Improving out-of-sample predictions using response times and a model of the decision process
Clithero, John A. - In: Journal of economic behavior & organization : JEBO 148 (2018), pp. 344-375
Persistent link: https://www.econbiz.de/10011985994
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Forecasting government bond yields with neural networks considering cointegration
Wegener, Christoph; Spreckelsen, Christian von; Basse, … - In: Journal of forecasting 35 (2016) 1, pp. 86-92
Persistent link: https://www.econbiz.de/10011417732