A unifying view on some problems in probability and statistics
被引:4
|
作者:
Berti, Patrizia
论文数: 0引用数: 0
h-index: 0
机构:
Univ Modena & Reggio Emilia, Dipartimento Matemat Pura & Applicata G Vitali, I-41100 Modena, ItalyUniv Modena & Reggio Emilia, Dipartimento Matemat Pura & Applicata G Vitali, I-41100 Modena, Italy
Berti, Patrizia
[1
]
Pratelli, Luca
论文数: 0引用数: 0
h-index: 0
机构:
Acad Navale, I-57100 Livorno, ItalyUniv Modena & Reggio Emilia, Dipartimento Matemat Pura & Applicata G Vitali, I-41100 Modena, Italy
Pratelli, Luca
[2
]
Rigo, Pietro
论文数: 0引用数: 0
h-index: 0
机构:
Univ Pavia, Dipartimento Matemat F Casorati, I-27100 Pavia, ItalyUniv Modena & Reggio Emilia, Dipartimento Matemat Pura & Applicata G Vitali, I-41100 Modena, Italy
Rigo, Pietro
[3
]
机构:
[1] Univ Modena & Reggio Emilia, Dipartimento Matemat Pura & Applicata G Vitali, I-41100 Modena, Italy
[2] Acad Navale, I-57100 Livorno, Italy
[3] Univ Pavia, Dipartimento Matemat F Casorati, I-27100 Pavia, Italy
来源:
STATISTICAL METHODS AND APPLICATIONS
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2014年
/
23卷
/
04期
关键词:
Compatibility of conditional distributions;
De Finetti's coherence principle;
Equivalent martingale measure;
Equivalent probability measure with given marginals;
Finitely additive probability;
Fundamental theorem of asset pricing;
EXISTENCE;
THEOREM;
D O I:
10.1007/s10260-014-0272-9
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:
Let L be a linear space of real random variables on the measurable space (Omega, A). Conditions for the existence of a probability P on A such that E-P vertical bar X vertical bar < infinity and E-P(X) = 0 for all X is an element of L are provided. Such a P may be finitely additive or sigma-additive, depending on the problem at hand, and may also be requested to satisfy P similar to P-0 or P << P-0 where P-0 is a reference measure. As a motivation, we note that a plenty of significant issues reduce to the existence of a probability P as above. Among them, we mention de Finetti's coherence principle, equivalent martingale measures, equivalent measures with given marginals, stationary and reversible Markov chains, and compatibility of conditional distributions.