Statistical causality and quasimartingales

D. Valjarević, L. Petrovic
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Abstract

Concept of causality is very popular and applicable nowadays, especially when we consider the cases "what would happen if" and "what would have happened if". Here we consider the concept of causality based on the Granger’s definition of causality, introduced in Mykland (1986). Many of the systems to which it is natural to apply tests of causality take place in continuous time, so we will consider the continuous time processes. Here we consider the connection between the concept of causality and the property of being a quasimartingale. Quasimartingales were investigated by Fisk (1965), Orey and specially Rao (1969). Namely, in this paper we prove an equivalence between the given concept of causality and preservation of quasimartingale property if the filtration is getting larger. We prove the same equivalence for the stopped quasimartingale with respect to the truncated filtrations.
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统计因果关系和拟鞅
因果关系的概念在当今非常流行和适用,特别是当我们考虑“如果会发生什么”和“如果会发生什么”的情况时。在这里,我们考虑因果关系的概念基于格兰杰的因果关系的定义,引入了在Mykland(1986)。许多可以很自然地应用因果关系检验的系统发生在连续时间内,因此我们将考虑连续时间过程。这里我们考虑因果关系的概念和拟鞅的性质之间的联系。Fisk(1965)、Orey,特别是Rao(1969)对拟鞅进行了研究。即,在本文中,我们证明了给定的因果关系概念与当过滤变大时保持拟鞅性质之间的等价性。对于截断滤波,我们证明了停止拟鞅的等价性。
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