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Functional central limit theorems for multivariate linear processes generated by dependent random vectors

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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)

  1. "On mixing and stability oflimit theorems", pp.325~ (1978)
  2. "\it A ranldom functional central limittheorem for martingales", pp.301~ (1976)
  3. "\it Convergence of Probability Measures" (1968)
  4. "Time Series Theory and Methods" (1987)
  5. "Aninvariance principle for weakly associated random vectors", pp.301~306 (1986)
  6. "On functional central limittheorems for multivariate linear processes with applications tosequential estimation", pp.11~23 (2000)
  7. "Introduction to Statistical Time-Series" (1996), 2ndEdition. Wiley Inc
  8. "The random functionalcentral limit theorem for multivariate martingale difference" (2006)
  9. "\it Convergence of Stochastic Processes}" (1984)
  10. "A comparison theorem on maximum inequalitiesbetween negatively associated and independent random variables", pp.343~356 (2000)

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