A first course in causal inference:
"The past decade has witnessed an explosion of interest in research and education in causal inference, due to its wide applications in biomedical research, social sciences, artificial intelligence etc. This textbook, based on the author's course on causal inference at UC Berkeley taught ov...
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton ; London ; New York
CRC Press. Taylor & Francis Group
2024
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| Edition: | First edition |
| Series: | Chapman & Hall/CRC texts in statistical science
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| Subjects: | |
| Summary: | "The past decade has witnessed an explosion of interest in research and education in causal inference, due to its wide applications in biomedical research, social sciences, artificial intelligence etc. This textbook, based on the author's course on causal inference at UC Berkeley taught over the past seven years, only requires basic knowledge of probability theory, statistical inference, and linear and logistic regressions. It assumes minimal knowledge of causal inference, and reviews basic probability and statistics in the appendix. It covers causal inference from a statistical perspective and includes examples and applications from biostatistics and econometrics. It would be suitable for an advanced undergraduate or graduate-level course on causal inference, or postgraduate and PhD-level course in statistics and biostatistics departments"-- |
| Physical Description: | xxvi, 421 Seiten Diagramme |
| ISBN: | 9781032758626 1032758627 9781032776316 1032776315 |
Staff View
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| isbn | 9781032758626 1032758627 9781032776316 1032776315 |
| language | English |
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| publishDate | 2024 |
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| publisher | CRC Press. Taylor & Francis Group |
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| series2 | Chapman & Hall/CRC texts in statistical science |
| spelling | Ding, Peng Verfasser (DE-588)1243092505 aut A first course in causal inference Peng Ding First edition Boca Raton ; London ; New York CRC Press. Taylor & Francis Group 2024 © 2024 xxvi, 421 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Chapman & Hall/CRC texts in statistical science "The past decade has witnessed an explosion of interest in research and education in causal inference, due to its wide applications in biomedical research, social sciences, artificial intelligence etc. This textbook, based on the author's course on causal inference at UC Berkeley taught over the past seven years, only requires basic knowledge of probability theory, statistical inference, and linear and logistic regressions. It assumes minimal knowledge of causal inference, and reviews basic probability and statistics in the appendix. It covers causal inference from a statistical perspective and includes examples and applications from biostatistics and econometrics. It would be suitable for an advanced undergraduate or graduate-level course on causal inference, or postgraduate and PhD-level course in statistics and biostatistics departments"-- Mathematical statistics / Textbooks Probabilities / Textbooks Causation / Mathematical models Inference / Mathematical models Inférence (Logique) / Modèles mathématiques (DE-588)4123623-3 Lehrbuch gnd-content Online version Ding, Peng (Statistician) First course in causal inference First edition Boca Raton, FL : CRC Press, 2024 978-1-003-48408-0 |
| spellingShingle | Ding, Peng A first course in causal inference |
| subject_GND | (DE-588)4123623-3 |
| title | A first course in causal inference |
| title_auth | A first course in causal inference |
| title_exact_search | A first course in causal inference |
| title_full | A first course in causal inference Peng Ding |
| title_fullStr | A first course in causal inference Peng Ding |
| title_full_unstemmed | A first course in causal inference Peng Ding |
| title_short | A first course in causal inference |
| title_sort | a first course in causal inference |
| topic_facet | Lehrbuch |
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