## Weak invariance principle for mixing sequences in the domain of attraction of normal law.(English)Zbl 1240.60034

The weak invariance principle in a self-normalized form is proved for strictly stationary sequences of non-degenerate random variables $$(X_n, n\geq 0)$$ under the following set of assumptions: (1) the truncated variance function $$EX_1^2 1_{\{| X_1| \leq x\}}$$ is slowly varying at infinity as a function of $$x$$; (2) the $$\phi$$-mixing coefficient has a logarithmic decay and $$\phi(1) < 1/4$$; (3) the variance of a specially truncated sum is equivalent to the sum of corresponding truncated variances with a positive multiplier, as a function of $$n$$; the variance itself may diverge.
The main result is a new interesting development in the mainstream of the papers [R. C. Bradley, Ann. Probab. 16, No.  1, 313–332 (1988; Zbl 0643.60018); E. Giné, F. Götze and D. M. Mason, Ann. Probab. 25, No.  3, 1514–1531 (1997; Zbl 0958.60023); Q. Shao, Chin. Ann. Math., Ser. B 14, No.  1, 27–42 (1993; Zbl 0777.60028); M. Csörgő, B. Szyszkowicz and Q. Wang, Ann. Probab. 31, No.  3, 1228–1240 (2003; Zbl 1045.60020); R. Balan and I.-M. Zamfirescu, Electron. Commun. Probab. 11, 11–23, electronic only (2006; Zbl 1109.60023)].

### MSC:

 60F05 Central limit and other weak theorems 60-02 Research exposition (monographs, survey articles) pertaining to probability theory 60F17 Functional limit theorems; invariance principles
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