Using the Bayesian Shtarkov solution for predictions
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DOI: 10.1016/j.csda.2016.06.018
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References listed on IDEAS
- Gneiting, Tilmann, 2011. "Making and Evaluating Point Forecasts," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 746-762.
- Chakraborty, Sounak & Ghosh, Malay & Mallick, Bani K., 2012. "Bayesian nonlinear regression for large p small n problems," Journal of Multivariate Analysis, Elsevier, vol. 108(C), pages 28-40.
- Unknown, 2000. "Back Matter," Food Review/ National Food Review, United States Department of Agriculture, Economic Research Service, vol. 23(2), pages 1-2.
- Unknown, 2000. "Back Matter," Food Review/ National Food Review, United States Department of Agriculture, Economic Research Service, vol. 23(1), pages 1-2.
- Tilmann Gneiting & Fadoua Balabdaoui & Adrian E. Raftery, 2007. "Probabilistic forecasts, calibration and sharpness," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(2), pages 243-268, April.
- Clarke, Bertrand, 2007. "Information optimality and Bayesian modelling," Journal of Econometrics, Elsevier, vol. 138(2), pages 405-429, June.
- Unknown, 2001. "Back Matter," SS-AAEA Journal of Agricultural Economics, Agricultural and Applied Economics Association, pages 1-4.
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Keywords
Bayes; Prequential; Model average; Stacking; Shtarkov predictor; Bagging;All these keywords.
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