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Dynamic shrinkage priors for large time-varying parameter regressions using scalable Markov Chain Monte Carlo Methods
Hauzenberger, Niko; Huber, Florian; Koop, Gary - 2023
Persistent link: https://www.econbiz.de/10014316037
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Bayesian model averaging and principal component regression forecasts in a data rich environment
Ouysse, Rachida - In: International journal of forecasting 32 (2016) 3, pp. 763-787
Persistent link: https://www.econbiz.de/10011621808
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Semiparametric GARCH via Bayesian model averaging
Chen, Wilson Ye; Gerlach, Richard H. - In: Journal of business & economic statistics : JBES ; a … 39 (2021) 2, pp. 437-452
Persistent link: https://www.econbiz.de/10012499090
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Option pricing model biases : Bayesian and Markov Chain Monte Carlo regression analysis
Mozumder, Sharif; Choudhry, Taufiq; Dempsey, Michael - In: Computational economics 57 (2021) 4, pp. 1287-1305
Persistent link: https://www.econbiz.de/10012543312
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On tree-structured linear and quantile regression-based asset pricing
Galakis, John; Vrontos, Ioannis; Xidonas, Panos - In: Review of accounting & finance 21 (2022) 3, pp. 204-245
Persistent link: https://www.econbiz.de/10013368270
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Bayesian bandwidth estimation for local linear fitting in nonparametric regression models
Shang, Han Lin; Zhang, Xibin - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 26 (2022) 1, pp. 55-71
Persistent link: https://www.econbiz.de/10013334620
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Volatility estimation using a rational GARCH model
Takaishi, Tetsuya - In: Quantitative finance and economics 2 (2018) 1, pp. 127-136
Persistent link: https://www.econbiz.de/10012137901
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Data-driven particle filters for Particle Markov Chain Monte Carlo
Leung, Patrick; Forbes, Catherine Scipione; Martin, Gael M. - 2016
Persistent link: https://www.econbiz.de/10011781784
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Modelldiagnose in der Bayesschen Inferenz
Vonthein, Reinhard - 1999
Persistent link: https://www.econbiz.de/10000683681