On Ornstein-Uhlenbeck driven by Ornstein-Uhlenbeck processes
被引:11
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作者:
Bercu, Bernard
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机构:
Univ Bordeaux 1, Inst Math Bordeaux, UMR 5251, F-33405 Talence, France
INRIA Bordeaux Sud Ouest, Team ALEA, F-33405 Talence, FranceUniv Bordeaux 1, Inst Math Bordeaux, UMR 5251, F-33405 Talence, France
Bercu, Bernard
[1
,2
]
Proia, Frederic
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机构:
Univ Bordeaux 1, Inst Math Bordeaux, UMR 5251, F-33405 Talence, France
INRIA Bordeaux Sud Ouest, Team ALEA, F-33405 Talence, FranceUniv Bordeaux 1, Inst Math Bordeaux, UMR 5251, F-33405 Talence, France
Proia, Frederic
[1
,2
]
Savy, Nicolas
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机构:
Univ Toulouse 3, UMR C5583, Inst Math Toulouse, F-31062 Toulouse 09, FranceUniv Bordeaux 1, Inst Math Bordeaux, UMR 5251, F-33405 Talence, France
Savy, Nicolas
[3
]
机构:
[1] Univ Bordeaux 1, Inst Math Bordeaux, UMR 5251, F-33405 Talence, France
[2] INRIA Bordeaux Sud Ouest, Team ALEA, F-33405 Talence, France
[3] Univ Toulouse 3, UMR C5583, Inst Math Toulouse, F-31062 Toulouse 09, France
Ornstein-Uhlenbeck process;
Maximum likelihood estimation;
Continuous-time Durbin-Watson statistic;
Almost sure convergence;
Asymptotic normality;
SERIAL-CORRELATION;
DURBIN;
D O I:
10.1016/j.spl.2013.11.002
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
We investigate the asymptotic behavior of the maximum likelihood estimators of the unknown parameters of positive recurrent Ornstein-Uhlenbeck processes driven by Ornstein-Uhlenbeck processes. (C) 2013 Elsevier B.V. All rights reserved.
机构:
Fujian Normal Univ, Sch Math & Comp Sci, Fuzhou 350007, Peoples R China
Tech Univ Dresden, Inst Math Stochast, D-01062 Dresden, GermanyFujian Normal Univ, Sch Math & Comp Sci, Fuzhou 350007, Peoples R China
机构:
Univ London Royal Holloway & Bedford New Coll, Dept Math, Egham TW20 0EX, Surrey, EnglandUniv London Royal Holloway & Bedford New Coll, Dept Math, Egham TW20 0EX, Surrey, England
Mota-Furtado, F.
O'Mahony, P. F.
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机构:
Univ London Royal Holloway & Bedford New Coll, Dept Math, Egham TW20 0EX, Surrey, EnglandUniv London Royal Holloway & Bedford New Coll, Dept Math, Egham TW20 0EX, Surrey, England