Introduction to Bayesian Econometrics
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Other versions of this item:
- Greenberg,Edward, 2014. "Introduction to Bayesian Econometrics," Cambridge Books, Cambridge University Press, number 9781107436770, October.
Citations
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Cited by:
- repec:wrk:wrkemf:38 is not listed on IDEAS
- Aiste Ruseckaite & Dennis Fok & Peter Goos, 2016. "Flexible Mixture-Amount Models for Business and Industry using Gaussian Processes," Tinbergen Institute Discussion Papers 16-075/III, Tinbergen Institute.
- Tobias S. Blattner & Michael A. S. Joyce, 2020. "The Euro Area Bond Free Float and the Implications for QE," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(6), pages 1361-1395, September.
- Mark J. Jensen & John M. Maheu, 2018.
"Risk, Return and Volatility Feedback: A Bayesian Nonparametric Analysis,"
JRFM, MDPI, vol. 11(3), pages 1-29, September.
- Jensen, Mark J & Maheu, John M, 2013. "Risk, Return and Volatility Feedback: A Bayesian Nonparametric Analysis," MPRA Paper 52132, University Library of Munich, Germany.
- Mark J. Jensen & John M. Maheu, 2014. "Risk, Return and Volatility Feedback: A Bayesian Nonparametric Analysis," Working Paper series 31_14, Rimini Centre for Economic Analysis.
- Mark J. Jensen & John M. Maheu, 2014. "Risk, Return, and Volatility Feedback: A Bayesian Nonparametric Analysis," FRB Atlanta Working Paper 2014-6, Federal Reserve Bank of Atlanta.
- Ana Beatriz Galvão & Michael Owyang, 2022.
"Forecasting low‐frequency macroeconomic events with high‐frequency data,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1314-1333, November.
- Ana B. Galvão & Michael T. Owyang, 2020. "Forecasting Low Frequency Macroeconomic Events with High Frequency Data," Working Papers 2020-028, Federal Reserve Bank of St. Louis, revised Apr 2022.
- Galvao, Ana Beatriz & Owyang, Michael, 2020. "Forecasting Low Frequency Macroeconomic Events with High Frequency Data," EMF Research Papers 38, Economic Modelling and Forecasting Group.
- Hiroaki Chigira & Tsunemasa Shiba, 2012.
"Dirichlet Prior for Estimating Unknown Regression Error Heteroscedasticity,"
Global COE Hi-Stat Discussion Paper Series
gd12-248, Institute of Economic Research, Hitotsubashi University.
- Hiroaki Chigira & Tsunemasa Shiba, 2015. "Dirichlet Prior For Estimating Unknown Regression Error Heteroskedasticity," DSSR Discussion Papers 51, Graduate School of Economics and Management, Tohoku University.
- Hiroaki Chigira & Tsunemasa Shiba, 2015. "Dirichlet Prior for Estimating Unknown Regression Error Heteroskedasticity," TERG Discussion Papers 341, Graduate School of Economics and Management, Tohoku University.
- Babajide Abiola Ayopo & Lawal Adedoyin Isola & Somoye Russel Olukayode, 2016. "Stock Market Response to Economic Growth and Interest Rate Volatility: Evidence from Nigeria," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 354-360.
- Michael P. Clements & Ana Beatriz Galvão, 2023. "Density forecasting with Bayesian Vector Autoregressive models under macroeconomic data uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(2), pages 164-185, March.
- Marius Galabe Sampid & Haslifah M Hasim & Hongsheng Dai, 2018. "Refining value-at-risk estimates using a Bayesian Markov-switching GJR-GARCH copula-EVT model," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-33, June.
- repec:wrk:wrkemf:36 is not listed on IDEAS
- Fabian Krüger & Sebastian Lerch & Thordis Thorarinsdottir & Tilmann Gneiting, 2021. "Predictive Inference Based on Markov Chain Monte Carlo Output," International Statistical Review, International Statistical Institute, vol. 89(2), pages 274-301, August.
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