Counterfactuals and Probability

Counterfactuals and Probability
Author: Moritz Schulz
Publisher: Oxford University Press
Total Pages: 247
Release: 2017
Genre: Mathematics
ISBN: 019878595X

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Moritz Schulz explores counterfactual thought and language: what would have happened if things had gone a different way. Counterfactual questions may concern large scale derivations (what would have happened if Nixon had launched a nuclear attack) or small scale evaluations of minor derivations (what would have happened if I had decided to join a different profession). A common impression, which receives a thorough defence in the book, is that oftentimes we find it impossible to know what would have happened. However, this does not mean that we are completely at a loss: we are typically capable of evaluating counterfactual questions probabilistically: we can say what would have been likely or unlikely to happen. Schulz describes these probabilistic ways of evaluating counterfactual questions and turns the data into a novel account of the workings of counterfactual thought.


Counterfactuals and Probability
Language: en
Pages: 247
Authors: Moritz Schulz
Categories: Mathematics
Type: BOOK - Published: 2017 - Publisher: Oxford University Press

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Moritz Schulz explores counterfactual thought and language: what would have happened if things had gone a different way. Counterfactual questions may concern la
Counterfactuals and Probability
Language: en
Pages: 256
Authors: Moritz Schulz
Categories: Philosophy
Type: BOOK - Published: 2017-01-19 - Publisher: Oxford University Press

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Moritz Schulz explores counterfactual thought and language: what would have happened if things had gone a different way. Counterfactual questions may concern la
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Authors: Christoph Molnar
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Type: BOOK - Published: 2020 - Publisher: Lulu.com

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This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp
Causal Inference in Statistics
Language: en
Pages: 162
Authors: Judea Pearl
Categories: Mathematics
Type: BOOK - Published: 2016-01-25 - Publisher: John Wiley & Sons

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CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we
Uncertainties in Counterfactuals
Language: en
Pages:
Authors: Qiyuan Zhang
Categories: Counterfactuals (Logic)
Type: BOOK - Published: 2012 - Publisher:

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Counterfactual representations refer to people's imaginations about the alternative possibilities to the actual world (i.e., what might have been). The present