@article{MTMT:169525,
	title = {Asymptotic results for the empirical process of stationary sequences},
	url = {https://m2.mtmt.hu/api/publication/169525},
	author = {Berkes, István and Hörmann, S and Schauer, J},
	doi = {10.1016/j.spa.2008.06.010},
	journal-iso = {STOCH PROC APPL},
	journal = {STOCHASTIC PROCESSES AND THEIR APPLICATIONS},
	volume = {119},
	unique-id = {169525},
	issn = {0304-4149},
	keywords = {CENTRAL-LIMIT-THEOREM; WEAK-CONVERGENCE; empirical process; Strong invariances; strong approximation; Kiefer process; LINEAR-PROCESSES; APPROXIMATION THEOREMS; CONDITIONAL HETEROSKEDASTICITY; DEPENDENT SEQUENCES; INVARIANCE-PRINCIPLES; MIXING RANDOM-VARIABLES; ITERATED RANDOM FUNCTIONS; AUGMENTED GARCH SEQUENCES},
	year = {2009},
	eissn = {1879-209X},
	pages = {1298-1324}
}

@article{MTMT:1781382,
	title = {An almost sure invariance principle for the empirical distribution function of mixing random variables},
	url = {https://m2.mtmt.hu/api/publication/1781382},
	author = {Berkes, István and W, Philipp},
	doi = {10.1007/BF00538416},
	journal-iso = {Z WAHRSC VERW GEBIETE},
	journal = {ZEITSCHRIFT FUR WAHRSCHEINLICHKEITSTHEORIE UND VERWANDTE GEBIETE},
	volume = {41},
	unique-id = {1781382},
	issn = {0044-3719},
	year = {1977},
	pages = {115-137}
}

@article{MTMT:100861,
	title = {An approximation of partial sums of independent RV'-s, and the sample DF. I},
	url = {https://m2.mtmt.hu/api/publication/100861},
	author = {Komlós, János and Major, Péter and Tusnády, Gábor},
	doi = {10.1007/BF00533093},
	journal-iso = {Z WAHRSC VERW GEBIETE},
	journal = {ZEITSCHRIFT FUR WAHRSCHEINLICHKEITSTHEORIE UND VERWANDTE GEBIETE},
	volume = {32},
	unique-id = {100861},
	issn = {0044-3719},
	abstract = {Let Sn=X1+X2+⋯+Xnbe the sum of i.i.d.r.v.-s, EX1=0, EX12=1, and let Tn= Y1+Y2+⋯+Ynbe the sum of independent standard normal variables. Strassen proved in [14] that if X1 has a finite fourth moment, then there are appropriate versions of Snand Tn(which, of course, are far from being independent) such that |Sn -Tn|=O(n1/4(log n)1/1(log log n)1/4) with probability one. A theorem of Bártfai [1] indicates that even if X1 has a finite moment generating function, the best possible bound for any version of Sn, Tnis O(log n). In this paper we introduce a new construction for the pair Sn, Tn, and prove that if X1 has a finite moment generating function, and satisfies condition i) or ii) of Theorem 1, then |Sn -Tn|=O(log n) with probability one for the constructed Sn, Tn. Our method will be applicable for the approximation of sample DF., too. © 1975 Springer-Verlag.},
	year = {1975},
	pages = {111-131},
	orcid-numbers = {Major, Péter/0000-0003-1147-9523}
}