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arXiv 0704.2847math.PRmath.AC
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高斯条件独立关系没有有限完全刻画

Gaussian conditional independence relations have no finite complete characterization

Seth Sullivant

摘要:

我们证明了不可能存在有限的条件独立关系列表,可以用来推导高斯随机变量之间的所有条件独立含义。要做到这一点,我们构造,为每个$n> 3$一个家庭的$n$条件独立声明的$n$随机变量,一起意味着,$X_1 \ind X_2$,这样,没有子集有这个相同的含义。证明依赖于二项式准素分解。

英文摘要:

We show that there can be no finite list of conditional independence relations which can be used to deduce all conditional independence implications among Gaussian random variables. To do this, we construct, for each $n> 3$ a family of $n$ conditional independence statements on $n$ random variables which together imply that $X_1 \ind X_2$, and such that no subset have this same implication. The proof relies on binomial primary decomposition.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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