A General Independence Approach to the Inference of Causal Asymmetry

Jiji ZHANG

A General Independence Approach to the Inference of Causal Asymmetry

Jiji ZHANG

Lingnan University

Research output: Other Conference Contributions › Conference Paper (other) › Research › peer-review

Original language	English
Publication status	Published - 7 Jan 2016
Event	統計数理研究所リスク解析戦略研究センター10周年記念国際研究集会「Causal inference」 : International workshop on Causal Inference - 統計数理研究所 , 東京都, Japan Duration: 6 Jan 2016 → 7 Jan 2016 https://www.ism.ac.jp/events/2016/meeting0106_07.html (Workshop schedule)

Workshop

Workshop	統計数理研究所リスク解析戦略研究センター10周年記念国際研究集会「Causal inference」 : International workshop on Causal Inference
Country/Territory	Japan
City	東京都
Period	6/01/16 → 7/01/16
Internet address	https://www.ism.ac.jp/events/2016/meeting0106_07.html (Workshop schedule)

Cite this

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title = "A General Independence Approach to the Inference of Causal Asymmetry",

author = "Jiji ZHANG",

year = "2016",

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day = "7",

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note = "統計数理研究所リスク解析戦略研究センター10周年記念国際研究集会「Causal inference」 : International workshop on Causal Inference ; Conference date: 06-01-2016 Through 07-01-2016",

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A General Independence Approach to the Inference of Causal Asymmetry. / ZHANG, Jiji.
2016. Paper presented at 統計数理研究所リスク解析戦略研究センター10周年記念国際研究集会「Causal inference」 : International workshop on Causal Inference, 東京都, Japan.

Research output: Other Conference Contributions › Conference Paper (other) › Research › peer-review

TY - CONF

T1 - A General Independence Approach to the Inference of Causal Asymmetry

AU - ZHANG, Jiji

PY - 2016/1/7

Y1 - 2016/1/7

UR - https://www.ism.ac.jp/events/2016/meeting0106_07.html

UR - http://lists.applstat.gr.jp/pipermail/jsas-ml/2016-January/000527.html

M3 - Conference Paper (other)

T2 - 統計数理研究所リスク解析戦略研究センター10周年記念国際研究集会「Causal inference」 : International workshop on Causal Inference

Y2 - 6 January 2016 through 7 January 2016

ER -

A General Independence Approach to the Inference of Causal Asymmetry

Workshop

Other files and links

Philosophical Implications of Recent Advances in Causal Modeling (因果建模和推理的新方法的哲學探究)

Cite this

A General Independence Approach to the Inference of Causal Asymmetry

Workshop

Other files and links

Projects

Philosophical Implications of Recent Advances in Causal Modeling (因果建模和推理的新方法的哲學探究)

Cite this