Causation, Prediction, and Search:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
1993
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Schriftenreihe: | Lecture Notes in Statistics
81 |
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | This book is intended for anyone, regardless of discipline, who is interested in the use of statistical methods to help obtain scientific explanations or to predict the outcomes of actions, experiments or policies. Much of G. Udny Yule's work illustrates a vision of statistics whose goal is to investigate when and how causal influences may be reliably inferred, and their comparative strengths estimated, from statistical samples. Yule's enterprise has been largely replaced by Ronald Fisher's conception, in which there is a fundamental cleavage between experimental and non experimental inquiry, and statistics is largely unable to aid in causal inference without randomized experimental trials. Every now and then members of the statistical community express misgivings about this turn of events, and, in our view, rightly so. Our work represents a return to something like Yule's conception of the enterprise of theoretical statistics and its potential practical benefits. If intellectual history in the 20th century had gone otherwise, there might have been a discipline to which our work belongs. As it happens, there is not. We develop material that belongs to statistics, to computer science, and to philosophy; the combination may not be entirely satisfactory for specialists in any of these subjects. We hope it is nonetheless satisfactory for its purpose |
Beschreibung: | 1 Online-Ressource (XXIV, 530 p) |
ISBN: | 9781461227489 9781461276500 |
ISSN: | 0930-0325 |
DOI: | 10.1007/978-1-4612-2748-9 |
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Datensatz im Suchindex
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---|---|
any_adam_object | |
author | Spirtes, Peter |
author_facet | Spirtes, Peter |
author_role | aut |
author_sort | Spirtes, Peter |
author_variant | p s ps |
building | Verbundindex |
bvnumber | BV042420078 |
classification_tum | MAT 000 |
collection | ZDB-2-SMA ZDB-2-BAE |
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dewey-full | 519.5 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.5 |
dewey-search | 519.5 |
dewey-sort | 3519.5 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
doi_str_mv | 10.1007/978-1-4612-2748-9 |
format | Electronic eBook |
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id | DE-604.BV042420078 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T01:21:06Z |
institution | BVB |
isbn | 9781461227489 9781461276500 |
issn | 0930-0325 |
language | English |
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physical | 1 Online-Ressource (XXIV, 530 p) |
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publishDate | 1993 |
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spelling | Spirtes, Peter Verfasser aut Causation, Prediction, and Search by Peter Spirtes, Clark Glymour, Richard Scheines New York, NY Springer New York 1993 1 Online-Ressource (XXIV, 530 p) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Statistics 81 0930-0325 This book is intended for anyone, regardless of discipline, who is interested in the use of statistical methods to help obtain scientific explanations or to predict the outcomes of actions, experiments or policies. Much of G. Udny Yule's work illustrates a vision of statistics whose goal is to investigate when and how causal influences may be reliably inferred, and their comparative strengths estimated, from statistical samples. Yule's enterprise has been largely replaced by Ronald Fisher's conception, in which there is a fundamental cleavage between experimental and non experimental inquiry, and statistics is largely unable to aid in causal inference without randomized experimental trials. Every now and then members of the statistical community express misgivings about this turn of events, and, in our view, rightly so. Our work represents a return to something like Yule's conception of the enterprise of theoretical statistics and its potential practical benefits. If intellectual history in the 20th century had gone otherwise, there might have been a discipline to which our work belongs. As it happens, there is not. We develop material that belongs to statistics, to computer science, and to philosophy; the combination may not be entirely satisfactory for specialists in any of these subjects. We hope it is nonetheless satisfactory for its purpose Statistics Statistics, general Statistik Prognoseverfahren (DE-588)4358095-6 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Bayes-Netz (DE-588)4567228-3 gnd rswk-swf Statistische Schlussweise (DE-588)4182963-3 gnd rswk-swf Kausalität (DE-588)4030102-3 gnd rswk-swf Kausalität (DE-588)4030102-3 s Statistische Schlussweise (DE-588)4182963-3 s 1\p DE-604 Bayes-Netz (DE-588)4567228-3 s 2\p DE-604 Prognoseverfahren (DE-588)4358095-6 s 3\p DE-604 Statistik (DE-588)4056995-0 s 4\p DE-604 Glymour, Clark Sonstige oth Scheines, Richard Sonstige oth https://doi.org/10.1007/978-1-4612-2748-9 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Spirtes, Peter Causation, Prediction, and Search Statistics Statistics, general Statistik Prognoseverfahren (DE-588)4358095-6 gnd Statistik (DE-588)4056995-0 gnd Bayes-Netz (DE-588)4567228-3 gnd Statistische Schlussweise (DE-588)4182963-3 gnd Kausalität (DE-588)4030102-3 gnd |
subject_GND | (DE-588)4358095-6 (DE-588)4056995-0 (DE-588)4567228-3 (DE-588)4182963-3 (DE-588)4030102-3 |
title | Causation, Prediction, and Search |
title_auth | Causation, Prediction, and Search |
title_exact_search | Causation, Prediction, and Search |
title_full | Causation, Prediction, and Search by Peter Spirtes, Clark Glymour, Richard Scheines |
title_fullStr | Causation, Prediction, and Search by Peter Spirtes, Clark Glymour, Richard Scheines |
title_full_unstemmed | Causation, Prediction, and Search by Peter Spirtes, Clark Glymour, Richard Scheines |
title_short | Causation, Prediction, and Search |
title_sort | causation prediction and search |
topic | Statistics Statistics, general Statistik Prognoseverfahren (DE-588)4358095-6 gnd Statistik (DE-588)4056995-0 gnd Bayes-Netz (DE-588)4567228-3 gnd Statistische Schlussweise (DE-588)4182963-3 gnd Kausalität (DE-588)4030102-3 gnd |
topic_facet | Statistics Statistics, general Statistik Prognoseverfahren Bayes-Netz Statistische Schlussweise Kausalität |
url | https://doi.org/10.1007/978-1-4612-2748-9 |
work_keys_str_mv | AT spirtespeter causationpredictionandsearch AT glymourclark causationpredictionandsearch AT scheinesrichard causationpredictionandsearch |