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Volumn 3, Issue , 2008, Pages 477-534

Bagging binary and quantile predictors for time series: Further issues

Author keywords

Algorithm; Bagging; Binary prediction; Frequency; Majority voting; Median bagging; Multi step prediction; Neural network; Quantile prediction; Time series

Indexed keywords


EID: 79960372730     PISSN: 15748715     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S1574-8715(07)00213-8     Document Type: Review
Times cited : (2)

References (32)
  • 1
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L. (1996), Bagging predictors. Machine Learning 24, 123-140.
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 2
    • 0000168623 scopus 로고
    • Residual-based procedures for prediction and estimation in a nonlinear simultaneous system
    • Brown, B.W., Mariano, R.S. (1989), Residual-based procedures for prediction and estimation in a nonlinear simultaneous system. Econometrica 52, 321-344.
    • (1989) Econometrica , vol.52 , pp. 321-344
    • Brown, B.W.1    Mariano, R.S.2
  • 3
    • 0008767220 scopus 로고    scopus 로고
    • Recent advances in quantile regression models: A practical guideline for empirical research
    • Buchinsky, M. (1998), Recent advances in quantile regression models: a practical guideline for empirical research. Journal of Human Resources 33, 88-126.
    • (1998) Journal of Human Resources , vol.33 , pp. 88-126
    • Buchinsky, M.1
  • 5
    • 0347354945 scopus 로고    scopus 로고
    • An MCMC approach to classical estimation
    • Chernozhukov, V., Hong, H. (2003), An MCMC approach to classical estimation. Journal of Econometrics 115, 293-346.
    • (2003) Journal of Econometrics , vol.115 , pp. 293-346
    • Chernozhukov, V.1    Hong, H.2
  • 6
    • 0040759670 scopus 로고    scopus 로고
    • Conditional value-at-risk: Aspects of modeling and estimation
    • Chernozhukov, V., Umantsev, L. (2001), Conditional value-at-risk: aspects of modeling and estimation. Empirical Economics 26, 271-292.
    • (2001) Empirical Economics , vol.26 , pp. 271-292
    • Chernozhukov, V.1    Umantsev, L.2
  • 7
    • 14844309293 scopus 로고    scopus 로고
    • Non-parametric direct multi-step estimation for forecasting economic processes
    • Chevillon, G., Hendry, D.F. (2004), Non-parametric direct multi-step estimation for forecasting economic processes. International Journal of Forecasting 21, 201-218.
    • (2004) International Journal of Forecasting , vol.21 , pp. 201-218
    • Chevillon, G.1    Hendry, D.F.2
  • 9
    • 33748291457 scopus 로고    scopus 로고
    • Financial asset returns, direction-ofchange forecasting, and volatility dynamics
    • Christofferson, P.F., Diebold, F.X. (2006), Financial asset returns, direction-ofchange forecasting, and volatility dynamics. Management Science 52, 1273-1287.
    • (2006) Management Science , vol.52 , pp. 1273-1287
    • Christofferson, P.F.1    Diebold, F.X.2
  • 11
    • 4444289240 scopus 로고    scopus 로고
    • CaViaR: Conditional autoregressive value at risk by regression quantiles
    • Engle, R.F., Manganelli, S. (2004), CaViaR: conditional autoregressive value at risk by regression quantiles. Journal of Business and Economic Statistics 22, 367-381.
    • (2004) Journal of Business and Economic Statistics , vol.22 , pp. 367-381
    • Engle, R.F.1    Manganelli, S.2
  • 12
    • 0002889251 scopus 로고    scopus 로고
    • The moving blocks bootstrap and robust inference for linear least squares and quantile regressions
    • Fitzenberger, B. (1997), The moving blocks bootstrap and robust inference for linear least squares and quantile regressions. Journal of Econometrics 82, 235-287.
    • (1997) Journal of Econometrics , vol.82 , pp. 235-287
    • Fitzenberger, B.1
  • 13
    • 0028766964 scopus 로고
    • A deep cut ellipsoid algorithm for convex programming: Theory and applications
    • Frenk, J.B.G., Gromicho, J., Zhang, S. (1994), A deep cut ellipsoid algorithm for convex programming: theory and applications. Mathematical Programming 163, 83-108.
    • (1994) Mathematical Programming , vol.163 , pp. 83-108
    • Frenk, J.B.G.1    Gromicho, J.2    Zhang, S.3
  • 14
    • 84896497737 scopus 로고    scopus 로고
    • How useful is bagging in forecasting economic time series? A case study of US CPI inflation
    • in press
    • Inoue, A., Kilian, L. (2006), How useful is bagging in forecasting economic time series? A case study of US CPI inflation, Journal of the American Statistical Association, in press.
    • (2006) Journal of the American Statistical Association
    • Inoue, A.1    Kilian, L.2
  • 16
    • 0001242354 scopus 로고    scopus 로고
    • An interior point algorithm for nonlinear quantile regression
    • Koenker, R., Park, B.J. (1996), An interior point algorithm for nonlinear quantile regression. Journal of Econometrics 71, 265-283.
    • (1996) Journal of Econometrics , vol.71 , pp. 265-283
    • Koenker, R.1    Park, B.J.2
  • 17
    • 21744436522 scopus 로고    scopus 로고
    • Quasi-maximum likelihood estimation for conditional quantiles
    • Komunjer, I. (2005), Quasi-maximum likelihood estimation for conditional quantiles. Journal of Econometrics 128, 137-164.
    • (2005) Journal of Econometrics , vol.128 , pp. 137-164
    • Komunjer, I.1
  • 19
    • 0034233266 scopus 로고    scopus 로고
    • Consistency of posterior distributions for neural networks
    • Lee, H. (2000), Consistency of posterior distributions for neural networks. Neural Networks 13, 629-642.
    • (2000) Neural Networks , vol.13 , pp. 629-642
    • Lee, H.1
  • 20
    • 33747886639 scopus 로고    scopus 로고
    • Bagging binary and quantile predictors for time series
    • Lee, T.-H., Yang, Y. (2006), Bagging binary and quantile predictors for time series. Journal of Econometrics 135, 465-497.
    • (2006) Journal of Econometrics , vol.135 , pp. 465-497
    • Lee, T.-H.1    Yang, Y.2
  • 21
    • 84979347161 scopus 로고
    • Forecasting from non-linear models in practice
    • Lin, J.L., Granger, C.W.J. (1994), Forecasting from non-linear models in practice. Journal of Forecasting 13, 1-9.
    • (1994) Journal of Forecasting , vol.13 , pp. 1-9
    • Lin, J.L.1    Granger, C.W.J.2
  • 22
    • 21444437852 scopus 로고    scopus 로고
    • Co-integration constraint and forecasting: An empirical examination
    • Lin, J.L., Tsay, R.S. (1996), Co-integration constraint and forecasting: an empirical examination. Journal of Applied Econometrics 11, 519-538.
    • (1996) Journal of Applied Econometrics , vol.11 , pp. 519-538
    • Lin, J.L.1    Tsay, R.S.2
  • 23
    • 0001366850 scopus 로고
    • Exact mean integrated squared error
    • Marron, J.S., Wand, M.P. (1992), Exact mean integrated squared error. Annals of Statistics 20, 712-736.
    • (1992) Annals of Statistics , vol.20 , pp. 712-736
    • Marron, J.S.1    Wand, M.P.2
  • 24
    • 33846487369 scopus 로고    scopus 로고
    • Selection of estimation window in the presence of breaks
    • Pesaran, M.H., Timmermann, A. (2007), Selection of estimation window in the presence of breaks. Journal of Econometrics 137, 134-161.
    • (2007) Journal of Econometrics , vol.137 , pp. 134-161
    • Pesaran, M.H.1    Timmermann, A.2
  • 25
    • 0000976724 scopus 로고    scopus 로고
    • The Gaussian hare and the Laplacean tortoise: Computability of l1 vs l2 regression estimators
    • Portnoy, S., Koenker, R. (1997), The Gaussian hare and the Laplacean tortoise: computability of l1 vs l2 regression estimators. Statistical Science 12, 279-300.
    • (1997) Statistical Science , vol.12 , pp. 279-300
    • Portnoy, S.1    Koenker, R.2
  • 26
    • 38249039685 scopus 로고
    • Censored regression quantiles
    • Powell, J.L. (1986), Censored regression quantiles. Journal of Econometrics 32, 143-155.
    • (1986) Journal of Econometrics , vol.32 , pp. 143-155
    • Powell, J.L.1
  • 28
    • 0012675693 scopus 로고    scopus 로고
    • A comparison of linear and nonlinear univariate models for forecasting macroeconomic time series
    • Engle, R.F., White, H. (Eds.), Oxford University Press, Oxford
    • Stock, J.H., Watson, M.W. (1999), A comparison of linear and nonlinear univariate models for forecasting macroeconomic time series. In: Engle, R.F., White, H. (Eds.), Cointegration, Causality, and Forecasting: A Festschrift in Honor of C.W.J. Granger. Oxford University Press, Oxford, pp. 1-44.
    • (1999) Cointegration, Causality, and Forecasting: A Festschrift in Honor of C.W.J. Granger , pp. 1-44
    • Stock, J.H.1    Watson, M.W.2
  • 30
    • 67649372714 scopus 로고    scopus 로고
    • Forecast combinations
    • Elliott, G., Granger, C.W.J., Timmermann, A. (Eds.), Elsevier, Amsterdam
    • Timmermann, A. (2006), Forecast Combinations. In: Elliott, G., Granger, C.W.J., Timmermann, A. (Eds.), Handbook of Economic Forecasting. Elsevier, Amsterdam, pp. 135-196.
    • (2006) Handbook of Economic Forecasting , pp. 135-196
    • Timmermann, A.1
  • 32
    • 24944569627 scopus 로고
    • Nonparametric estimation of conditional quantiles using neural networks
    • Springer-Verlag, New York
    • White, H. (1992), Nonparametric estimation of conditional quantiles using neural networks. In: Proceedings of the Symposium on the Interface. Springer-Verlag, New York, pp. 190-199.
    • (1992) Proceedings of the Symposium on the Interface , pp. 190-199
    • White, H.1


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