2015 Fiscal Year Final Research Report
Computational Algebraic Methods for Statistical Causal Inference
| Project/Area Number |
24700274
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Statistical science
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| Research Institution | Seikei University (2014-2015)
Tokyo Institute of Technology (2012-2013) |
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Principal Investigator |
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| Project Period (FY) |
2012-04-01 – 2016-03-31
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| Keywords | 統計的因果推論 / 計算代数統計 / 条件付独立性 |
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| Outline of Final Research Achievements |
Conditional independence is a fundamental concept in statistics and applied in a variety of fields. In order to analyze the properties of conditional independence, we deal with the implication problem of conditional independence statements, that is, testing whether a conditional independence statement is derived from a set of other conditional independence statements. In this research, we propose a new algebraic method for the implication problem among conditional independence statements, which is inspired by the factorization characterization of conditional independence.
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| Free Research Field |
統計科学
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