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An adversarial approach to structural estimation
Kaji, Tetsuya; Manresa, Elena; Pouliot, Guillaume - In: Econometrica : journal of the Econometric Society, an … 91 (2023) 6, pp. 2041-2063
Persistent link: https://www.econbiz.de/10014438258
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Inference using simulated neural moments
Creel, Michael D. - In: Econometrics : open access journal 9 (2021) 4, pp. 1-15
, specifically Markov chain Monte Carlo (MCMC). Motivation and theory for the methods is provided by Chernozhukov and Hong (2003 …
Persistent link: https://www.econbiz.de/10012642418
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Inference using simulated neural moments
Creel, Michael D. - 2020 - This version: November 2020
Persistent link: https://www.econbiz.de/10012431141
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GEFCom2014 probabilistic electric load forecasting : an integrated solution with forecast combination and residual simulation
Xie, Jingrui; Tao, Hong - In: International journal of forecasting 32 (2016) 3, pp. 1012-1016
Persistent link: https://www.econbiz.de/10011621984
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Large-scale inventory optimization : a recurrent neural networks–inspired simulation approach
Wang, Tan; Hong, L. Jeff - In: INFORMS journal on computing : JOC ; charting new … 35 (2023) 1, pp. 196-215
Persistent link: https://www.econbiz.de/10014327400
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Artificial intelligence as structural estimation : Deep Blue, Bonanza, and AlphaGo
Igami, Mitsuru - In: The econometrics journal 23 (2020) 3, pp. S1-S24
Persistent link: https://www.econbiz.de/10012385260
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Multivariate density estimation by neural networks
Peerlings, Dewi; Brakel, Jan A. van den; Baştürk, Nalan; … - 2021
Persistent link: https://www.econbiz.de/10012518633
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Bayesian estimation of economic simulation models using neural networks
Platt, Donovan - In: Computational economics 59 (2022) 2, pp. 599-650
Persistent link: https://www.econbiz.de/10013169024
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Bridging the divide? : Bayesian artificial neural networks for frontier efficiency analysis
Tsionas, Efthymios G.; Parameter, Christopher F.; … - 2021
Persistent link: https://www.econbiz.de/10013256898