Causality Modeling and Statistical Generative Mechanisms-Reference-Cited by-同舟云学术

Causality Modeling and Statistical Generative Mechanisms

Published:2018 Issue: Volume: Page:148-186
ISSN:0302-9743
Container-title:Braverman Readings in Machine Learning. Key Ideas from Inception to Current State
language:
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Author:

Mandel Igor

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-99492-5_7

Reference75 articles.

1. Bang-Jensen, J., Gutin, G.: Digraphs: Theory, Algorithms and Applications. Springer, Heidelberg (2009). https://doi.org/10.1007/978-1-84800-998-1

2. Bennett, A.: The mother of all “isms”: organizing political science around causal mechanisms. In: Groff, R. (ed.) Revitalizing Causality: Realism About Causality in Philosophy and Social Science, pp. 205–219. Routledge (2008)

3. Berk, R.: Regression Analysis: A Constructive Critique. Sage Publications, Newbury Park (2004)

4. Wiley Series in Probability and Statistics,2012

5. Bigelow, J., Ellis, B., Pargetter, R.: Forces. Philos. Sci. 55, 614–630 (1988)

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