Model Selection and the Principle of Minimum Description Length
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- Md Atikur Rahman Khan & D.S. Poskitt, 2010. "Description Length Based Signal Detection in singular Spectrum Analysis," Monash Econometrics and Business Statistics Working Papers 13/10, Monash University, Department of Econometrics and Business Statistics.
- Brockwell, P. J. & Dahlhaus, R., 2004. "Generalized Levinson-Durbin and Burg algorithms," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 129-149.
- Rissanen, Jorma & Roos, Teemu & Myllymäki, Petri, 2010. "Model selection by sequentially normalized least squares," Journal of Multivariate Analysis, Elsevier, vol. 101(4), pages 839-849, April.
- Makalic, Enes & Schmidt, Daniel F., 2009. "Minimum Message Length shrinkage estimation," Statistics & Probability Letters, Elsevier, vol. 79(9), pages 1155-1161, May.
- Brian Hanlon & Catherine Forbes, 2002. "Model Selection Criteria for Segmented Time Series from a Bayesian Approach to Information Compression," Monash Econometrics and Business Statistics Working Papers 8/02, Monash University, Department of Econometrics and Business Statistics.
- Poskitt, D.S. & Sengarapillai, Arivalzahan, 2013.
"Description length and dimensionality reduction in functional data analysis,"
Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 98-113.
- D. S. Poskitt & Arivalzahan Sengarapillai, 2009. "Description Length and Dimensionality Reduction in Functional Data Analysis," Monash Econometrics and Business Statistics Working Papers 13/09, Monash University, Department of Econometrics and Business Statistics.
- Ching-Kang Ing, 2005. "Accumulated Prediction Errors, Information Criteria And Optimal Forecasting For Autoregressive Time Series," Econometrics 0503020, University Library of Munich, Germany.
- Fildes, Robert, 2006. "The forecasting journals and their contribution to forecasting research: Citation analysis and expert opinion," International Journal of Forecasting, Elsevier, vol. 22(3), pages 415-432.
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