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U-statistics of local sample moments under weak dependence. (English) Zbl 1535.60040

The authors study the asymptotic distribution of certain U-statistics whose entries are local summary statistics of an underlying weakly dependent process \({({X_t})_{t \in Z}}\). They consider local statistics \({W_{n,j}} = \sqrt {{l_n}} g\left( {\frac{1}{{{l_n}}}\sum_{t \in {B_{n,j}}} {{X_t}} ,\frac{1}{{{l_n}}}\sum_{t \in {B_{n,j}}} {X_t^2} ,\dots,\frac{1}{{{l_n}}}\sum_{t \in {B_{n,j}}} {X_t^m} } \right)\), \(1 \le j \le {b_n}\), where \({B_{n,j}}: = \{ (j - 1){l_n} + 1,\dots,j{l_n}\} \) and block length \({l_n}\) tend to infinity. They establish asymptotic normality of such U-statistics. After that they study U-statistics of the type \({U_n}: = \frac{1}{{{b_n}({b_n} - 1)}}\sum\limits_{1 \le j \ne k \le {b_n}} {h({W_{n,j}},{W_{n,k}})} \).

MSC:

60F05 Central limit and other weak theorems
60G10 Stationary stochastic processes

References:

[1] Biermé, H. and Durieu, O. Invariance principles for self-similar set-indexed random fields. Trans. Amer. Math. Soc., 366 (11), 5963-5989 (2014). MR3256190. · Zbl 1330.60055
[2] Billingsley, P. Convergence of probability measures. John Wiley & Sons, Inc., New York-London-Sydney (1968). MR233396. · Zbl 0172.21201
[3] Dehling, H. Limit theorems for dependent U -statistics. In Dependence in probability and statistics, volume 187 of Lect. Notes Stat., pp. 65-86. Springer, New York (2006). MR2283250. · Zbl 1105.62047
[4] El Machkouri, M. Kernel density estimation for stationary random fields. ALEA Lat. Am. J. Probab. Math. Stat., 11 (1), 259-279 (2014). MR3225977. · Zbl 1291.62083
[5] El Machkouri, M., Volný, D., and Wu, W. B. A central limit theorem for stationary random fields. Stochastic Process. Appl., 123 (1), 1-14 (2013). MR2988107. · Zbl 1308.60025
[6] Giraudo, D. Limit theorems for U -statistics of Bernoulli data. ALEA Lat. Am. J. Probab. Math. Stat., 18 (1), 793-828 (2021). MR4243516. · Zbl 1469.60077
[7] Halmos, P. R. The theory of unbiased estimation. Ann. Math. Statistics, 17, 34-43 (1946). MR15746. · Zbl 0063.01891
[8] Ho, H.-C. and Hsing, T. Limit theorems for functionals of moving averages. Ann. Probab., 25 (4), 1636-1669 (1997). MR1487431. · Zbl 0903.60018
[9] Hoeffding, W. A class of statistics with asymptotically normal distribution. Ann. Math. Statistics, 19, 293-325 (1948). MR26294. · Zbl 0032.04101
[10] Hsing, T. and Wu, W. B. On weighted U -statistics for stationary processes. Ann. Probab., 32 (2), 1600-1631 (2004). MR2060311. · Zbl 1049.62099
[11] Jirak, M. Berry-Esseen theorems under weak dependence. Ann. Probab., 44 (3), 2024-2063 (2016). MR3502600. · Zbl 1347.60011
[12] Liu, W., Xiao, H., and Wu, W. B. Probability and moment inequalities under dependence. Statist. Sinica, 23 (3), 1257-1272 (2013). MR3114713. · Zbl 1534.60027
[13] Löwe, M. and Terveer, S. A central limit theorem for incomplete U -statistics over triangular arrays. Braz. J. Probab. Stat., 35 (3), 499-522 (2021). MR4289844. · Zbl 1474.60056
[14] Nualart, D. Malliavin calculus and its applications, volume 110 of CBMS Regional Conference Series in Mathematics. Published for the Conference Board of the Mathematical Sciences, Washington, DC; by the American Mathematical Society, Providence, RI (2009). ISBN 978-0-8218-4779-4. MR2498953. · Zbl 1198.60006
[15] Priestley, M. B. Nonlinear and nonstationary time series analysis. Academic Press, Inc. [Harcourt Brace Jovanovich, Publishers], London (1988). ISBN 0-12-564910-X. MR991969. · Zbl 0687.62072
[16] Rugh, W. J. Nonlinear system theory. The Volterra-Wiener approach. Johns Hopkins Series in Information Sciences and Systems. Johns Hopkins University Press, Baltimore, MD (1981). ISBN 0-8018-2549-0. MR713994. · Zbl 0666.93065
[17] Schmidt, S. K. Detecting changes in the trend function of heteroscedastic time series (2023+). To appear in Bernoulli. Available at arXiv: 2108.09206.
[18] Schmidt, S. K., Wornowizki, M., Fried, R., and Dehling, H. An asymptotic test for constancy of the variance under short-range dependence. Ann. Statist., 49 (6), 3460-3481 (2021). MR4352537. · Zbl 1486.62244
[19] Serfling, R. J. Approximation theorems of mathematical statistics. Wiley Series in Probability and Mathematical Statistics. John Wiley & Sons, Inc., New York (1980). ISBN 0-471-02403-1. MR595165. · Zbl 0538.62002
[20] Wu, W. B. Nonlinear system theory: another look at dependence. Proc. Natl. Acad. Sci. USA, 102 (40), 14150-14154 (2005). MR2172215. · Zbl 1135.62075
[21] Wu, W. B. Unit root testing for functionals of linear processes. Econometric Theory, 22 (1), 1-14 (2006). MR2212691. · Zbl 1083.62098
[22] Wu, W. B. Empirical processes of stationary sequences. Statist. Sinica, 18 (1), 313-333 (2008). MR2384990. · Zbl 1137.62027
[23] Wu, W. B. Asymptotic theory for stationary processes. Stat. Interface, 4 (2), 207-226 (2011). MR2812816. · Zbl 1513.62185
[24] Zhang, N., Reding, L., and Peligrad, M. On the quenched central limit theorem for stationary ran-dom fields under projective criteria. J. Theoret. Probab., 33 (4), 2351-2379 (2020). MR4166203. · Zbl 1469.60168
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