1[1]Agrawal R. Mining association rules between sets of items in large databases[ A]. In: proceedings of ACM SIGMOD Conference on Management of Data[ C ]. Washington: DC, 1993. 207-216. 被引量：1
2[2]Agrawal R, Srikant R. Fast algorithms for mining association rules[ A]. In: Proceedings of the 20th Internationan Conference on Very Large Databases[C]. Santiago: Chile, 1994. 487-499. 被引量：1
1Bollerslev, T. Generalized Autoregressive Conditional Heteroskedasticity[J]. Journal of Econometrics, 1986(31) : 307- 327. 被引量：1
2Bodurtha, J.N. and Mark, N.C. Testing the CAPM with Time-Varying Risks and Returns[J]. Journal of Finance, 1991(46) : 1485-1505. 被引量：1
3Christensen B. J. , Dahl C. M. and Iglesias E. M. A class of semiparametric GARCH in mean models and its semiparametric efficiency bound[J]. CREATES Research Papers, School of Economics and Management, Univer- sity of Aarhus, 2010(46). 被引量：1
4Engle, R.F. Autoregressive conditional heteroskedasticity with estimate of the variance of U. K. inflation[J]. Econometrica, 1982(50): 987-1008. 被引量：1
5Huang, N.E. , Shen, Z and Long, S.R. The empirical rne decomposition and the Hilbert spectrum for nonlinear and non-statiolmry time series analysis[J]. Prooe of the Royal Society of London, 1998, A 454:903 - 995. 被引量：1
6Nelson D. B. ARCH models as diffusion approximations[J]. Journal of Econometrics, 1990, 45(1) : 7 38. 被引量：1
7Wu, Z. H., and Huang, N. E. Ensemble empirical mode decomposition: a noise-assisted data analysis method [J]. Advances in Adaptive Data Analysis, 2009, 1 (1) .. 1-41. 被引量：1
