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| Main Authors: | , |
|---|---|
| Corporate Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
[Erscheinungsort nicht ermittelbar]
O'Reilly Media, Inc.
2022
|
| Edition: | 1st edition. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781098118990/?ar |
| Summary: | Causal inference lies at the heart of our ability to understand why things happen by helping us predict the result of any action. This process is vital for businesses that aspire to turn data and information into valuable knowledge. With this report, data scientists and analysts will learn a principled way of thinking about causality using a suite of causal inference techniques now available. Authors Hugo Bowne-Anderson, a data science consultant, and Mike Loukides, vice president of content strategy at O'Reilly Media, introduce causality and discuss randomized control trials (RCTs), key aspects of causal graph theory, and well-needed techniques from econometrics. |
| Item Description: | Online resource; Title from title page (viewed January 25, 2022) |
| Physical Description: | 1 Online-Ressource (40 pages) |
| ISBN: | 9781098118990 1098118995 |
Staff View
MARC
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| 650 | 0 | |a Estimation theory | |
| 650 | 0 | |a Conditional expectations (Mathematics) | |
| 650 | 0 | |a Effect sizes (Statistics) | |
| 650 | 0 | |a Acyclic models | |
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| 650 | 0 | |a Inference |x Mathematical models | |
| 650 | 0 | |a R (Computer program language) | |
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| dewey-full | 519.5/4 |
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| discipline | Mathematik |
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| id | ZDB-30-ORH-076599329 |
| illustrated | Not Illustrated |
| indexdate | 2025-06-25T12:14:33Z |
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| isbn | 9781098118990 1098118995 |
| language | English |
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| spelling | Bowne-Anderson, Hugo VerfasserIn aut What Is Causal Inference? Bowne-Anderson, Hugo 1st edition. [Erscheinungsort nicht ermittelbar] O'Reilly Media, Inc. 2022 1 Online-Ressource (40 pages) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; Title from title page (viewed January 25, 2022) Causal inference lies at the heart of our ability to understand why things happen by helping us predict the result of any action. This process is vital for businesses that aspire to turn data and information into valuable knowledge. With this report, data scientists and analysts will learn a principled way of thinking about causality using a suite of causal inference techniques now available. Authors Hugo Bowne-Anderson, a data science consultant, and Mike Loukides, vice president of content strategy at O'Reilly Media, introduce causality and discuss randomized control trials (RCTs), key aspects of causal graph theory, and well-needed techniques from econometrics. Estimation theory Conditional expectations (Mathematics) Effect sizes (Statistics) Acyclic models Causation Mathematical models Inference Mathematical models R (Computer program language) Théorie de l'estimation Espérances conditionnelles (Mathématiques) Ampleur de l'effet (Statistique) Modèles acycliques Inférence (Logique) ; Modèles mathématiques R (Langage de programmation) Causation ; Mathematical models Inference ; Mathematical models Loukides, Mike VerfasserIn aut O'Reilly for Higher Education (Firm), MitwirkendeR ctb Safari, an O'Reilly Media Company. MitwirkendeR ctb |
| spellingShingle | Bowne-Anderson, Hugo Loukides, Mike What Is Causal Inference? Estimation theory Conditional expectations (Mathematics) Effect sizes (Statistics) Acyclic models Causation Mathematical models Inference Mathematical models R (Computer program language) Théorie de l'estimation Espérances conditionnelles (Mathématiques) Ampleur de l'effet (Statistique) Modèles acycliques Inférence (Logique) ; Modèles mathématiques R (Langage de programmation) Causation ; Mathematical models Inference ; Mathematical models |
| title | What Is Causal Inference? |
| title_auth | What Is Causal Inference? |
| title_exact_search | What Is Causal Inference? |
| title_full | What Is Causal Inference? Bowne-Anderson, Hugo |
| title_fullStr | What Is Causal Inference? Bowne-Anderson, Hugo |
| title_full_unstemmed | What Is Causal Inference? Bowne-Anderson, Hugo |
| title_short | What Is Causal Inference? |
| title_sort | what is causal inference |
| topic | Estimation theory Conditional expectations (Mathematics) Effect sizes (Statistics) Acyclic models Causation Mathematical models Inference Mathematical models R (Computer program language) Théorie de l'estimation Espérances conditionnelles (Mathématiques) Ampleur de l'effet (Statistique) Modèles acycliques Inférence (Logique) ; Modèles mathématiques R (Langage de programmation) Causation ; Mathematical models Inference ; Mathematical models |
| topic_facet | Estimation theory Conditional expectations (Mathematics) Effect sizes (Statistics) Acyclic models Causation Mathematical models Inference Mathematical models R (Computer program language) Théorie de l'estimation Espérances conditionnelles (Mathématiques) Ampleur de l'effet (Statistique) Modèles acycliques Inférence (Logique) ; Modèles mathématiques R (Langage de programmation) Causation ; Mathematical models Inference ; Mathematical models |
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