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Causation, Prediction, and Search
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Introduction and Advertisement
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Chapter 2
Formal Preliminaries
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Chapter 3
Causation and Prediction: Axioms and Explications
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Chapter 4
Statistical Indistinguishability
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Chapter 5
Discovery Algorithms for Causally Sufficient Structures
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Chapter 6
Discovery Algorithms without Causal Sufficiency
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Chapter 7
Prediction
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Chapter 8
Regression, Causation and Prediction
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Chapter 9
The Design of Empirical Studies
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Chapter 10
The Structure of the Unobserved
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Chapter 11
Elaborating Linear Theories with Unmeasured Variables
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Chapter 12
Open Problems
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Chapter 13
Proofs of Theorems
Overall attention for this book and its chapters
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Mentioned by
twitter
5
X users
syllabi
2
institutions with syllabi
Citations
dimensions_citation
1700
Dimensions
Readers on
mendeley
35
Mendeley
Book overview
1. Introduction and Advertisement
2. Formal Preliminaries
3. Causation and Prediction: Axioms and Explications
4. Statistical Indistinguishability
5. Discovery Algorithms for Causally Sufficient Structures
6. Discovery Algorithms without Causal Sufficiency
7. Prediction
8. Regression, Causation and Prediction
9. The Design of Empirical Studies
10. The Structure of the Unobserved
11. Elaborating Linear Theories with Unmeasured Variables
12. Open Problems
13. Proofs of Theorems
Summary
X
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
2
syllabi from
2
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Carnegie Mellon University
1
Unknown
Unknown
1
Business