논문KCI 등재
Functional central limit theorems for multivariate linear processes generated by dependent random vectors
대한수학회 (The Korean Mathematical Society)|2006.10|대한수학회논문집 (Communications of the KMS)|제21권 제4호|pp. 779-786
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Abstract
LetXt be an m-dimensional linear process dened byXt =P 1j =0 Aj Zt j ; t = 1 ;2;: , where fZtg is a sequence ofm-dimensional random vectors with mean 0 :m 1 and positivedenite covariance matrix : m m and fAj g is a sequence ofcoecient matrices. In this paper we give sucient conditions sothatP [ns ]t=1 Xt (properly normalized) converges weakly to Wienermeasure if the corresponding result forP [ns ]t=1 Zt is true.
참고문헌 (10)
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