This paper investigates the asymptotic distribution of the partial sum, $S_N=\sum_{n=1}^N [K(X_n)-EK(X_n)]$, as $N \to \infty$, where ${X_n}$ is a moving average stable process and $K$ is a bounded and measurable function. The results show that $S_N$ follows a central or non-central limit theorem depending on the rate at which the moving average coefficients tend to 0.
References
Bradley, R. (1986). Basic properties of strong mixing conditions. In Dependence in Probability and Statistics (E. Eberlein and M. S. Taqqu, eds.) 162-192. Birkh¨auser, Boston. MR88g:60039 0603.60034Bradley, R. (1986). Basic properties of strong mixing conditions. In Dependence in Probability and Statistics (E. Eberlein and M. S. Taqqu, eds.) 162-192. Birkh¨auser, Boston. MR88g:60039 0603.60034
Breuer, P. and Major, P. (1983). Central limit theorems for nonlinear functionals of Gaussian fields. J. Multivariate Anal. 13 425-441. MR85d:60042 10.1016/0047-259X(83)90019-2Breuer, P. and Major, P. (1983). Central limit theorems for nonlinear functionals of Gaussian fields. J. Multivariate Anal. 13 425-441. MR85d:60042 10.1016/0047-259X(83)90019-2
Brockwell, P. J. and Davis, R. A. (1991). Time Series: Theory and Methods, 2nd ed. Springer, New York. MR92d:62001Brockwell, P. J. and Davis, R. A. (1991). Time Series: Theory and Methods, 2nd ed. Springer, New York. MR92d:62001
Davis, R. A. and Hsing, T. (1995). Point process and partial sum convergence for weakly dependent random variables with infinite variance. Ann. Probab. 23 879-917. 0837.60017 MR1334176 10.1214/aop/1176988294 euclid.aop/1176988294
Davis, R. A. and Hsing, T. (1995). Point process and partial sum convergence for weakly dependent random variables with infinite variance. Ann. Probab. 23 879-917. 0837.60017 MR1334176 10.1214/aop/1176988294 euclid.aop/1176988294
Dobrushin, R. L. and Major, P. (1979). Non-central limit theorems for nonlinear functionals of Gaussian fields.Wahrsch. Verw. Gebiete 50 27-52. MR81i:60019 10.1007/BF00535673Dobrushin, R. L. and Major, P. (1979). Non-central limit theorems for nonlinear functionals of Gaussian fields.Wahrsch. Verw. Gebiete 50 27-52. MR81i:60019 10.1007/BF00535673
Ho, H.-C. and Hsing, T. (1997). Limit theorems for functionals of moving averages. Ann. Probab. 25 1636-1669. 0903.60018 MR1487431 10.1214/aop/1023481106 euclid.aop/1023481106
Ho, H.-C. and Hsing, T. (1997). Limit theorems for functionals of moving averages. Ann. Probab. 25 1636-1669. 0903.60018 MR1487431 10.1214/aop/1023481106 euclid.aop/1023481106
Kokoszka, P. S. and Taqqu, M. S. (1996). Parameter estimation for infinite variance fractional ARIMA. Ann. Statist. 24 1880-1913. MR98f:62257 0896.62092 10.1214/aos/1069362302 euclid.aos/1069362302
Kokoszka, P. S. and Taqqu, M. S. (1996). Parameter estimation for infinite variance fractional ARIMA. Ann. Statist. 24 1880-1913. MR98f:62257 0896.62092 10.1214/aos/1069362302 euclid.aos/1069362302
Peligrad, M. (1986). Recent advances in the central limit theorem and its weak invariance principle for mixing sequences of random variables. In Dependence in Probability and Statistics (E. Eberlein and M. S. Taqqu, eds.) 193-223. Birkh¨auser, Boston. MR88j:60053 0603.60022Peligrad, M. (1986). Recent advances in the central limit theorem and its weak invariance principle for mixing sequences of random variables. In Dependence in Probability and Statistics (E. Eberlein and M. S. Taqqu, eds.) 193-223. Birkh¨auser, Boston. MR88j:60053 0603.60022
Pham, T. D. and Tran, T. T. (1985). Some mixing properties of time series models. Stochastic Process. Appl. 19 297-303. MR86h:60078 0564.62068 10.1016/0304-4149(85)90031-6Pham, T. D. and Tran, T. T. (1985). Some mixing properties of time series models. Stochastic Process. Appl. 19 297-303. MR86h:60078 0564.62068 10.1016/0304-4149(85)90031-6
Samorodnitsky, G. and Taqqu, M. S. (1994). Stable Non-Gaussian Random Processes. Chapman and Hall, New York. Taqqu, M. S. (1979) Convergence of integrated processes of arbitrary Hermite rank.Wahrsch. Verw. Gebiete 50 53-83. MR1280932 0925.60027Samorodnitsky, G. and Taqqu, M. S. (1994). Stable Non-Gaussian Random Processes. Chapman and Hall, New York. Taqqu, M. S. (1979) Convergence of integrated processes of arbitrary Hermite rank.Wahrsch. Verw. Gebiete 50 53-83. MR1280932 0925.60027
Withers, C. S. (1975). Convergence of empirical processes of mixing random variables on 0 1. Ann. Statist. 3 1101-1108. MR394794 0317.60013 10.1214/aos/1176343242 euclid.aos/1176343242
Withers, C. S. (1975). Convergence of empirical processes of mixing random variables on 0 1. Ann. Statist. 3 1101-1108. MR394794 0317.60013 10.1214/aos/1176343242 euclid.aos/1176343242