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Type: BOOK - Published: 2019-07-07 - Publisher: CRC Press
The application of causal inference methods is growing exponentially in fields that deal with observational data. Written by pioneers in the field, this practic
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Type: BOOK - Published: 2017-11-29 - Publisher: MIT Press
A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is
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Type: BOOK - Published: 2021-01-26 - Publisher: Yale University Press
An accessible, contemporary introduction to the methods for determining cause and effect in the Social Sciences “Causation versus correlation has been the bas
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Type: BOOK - Published: 2015 - Publisher: Createspace Independent Publishing Platform
This paper summarizes recent advances in causal inference and underscores the paradigmatic shifts that must be undertaken in moving from traditional statistical
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The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hun