Matches in SemOpenAlex for { <https://semopenalex.org/work/W58821489> ?p ?o ?g. }
- W58821489 endingPage "1662" @default.
- W58821489 startingPage "1643" @default.
- W58821489 abstract "The goal of many sciences is to understand the mechanisms by which variables came to take on the values they have (that is, to find a generative model), and to predict what the values of those variables would be if the naturally occurring mechanisms were subject to outside manipulations. The past 30 years has seen a number of conceptual developments that are partial solutions to the problem of causal inference from observational sample data or a mixture of observational sample and experimental data, particularly in the area of graphical causal modeling. However, in many domains, problems such as the large numbers of variables, small samples sizes, and possible presence of unmeasured causes, remain serious impediments to practical applications of these developments. The articles in the Special Topic on Causality address these and other problems in applying graphical causal modeling algorithms. This introduction to the Special Topic on Causality provides a brief introduction to graphical causal modeling, places the articles in a broader context, and describes the differences between causal inference and ordinary machine learning classification and prediction problems." @default.
- W58821489 created "2016-06-24" @default.
- W58821489 creator A5047533473 @default.
- W58821489 date "2010-03-01" @default.
- W58821489 modified "2023-09-26" @default.
- W58821489 title "Introduction to Causal Inference" @default.
- W58821489 cites W134202759 @default.
- W58821489 cites W1486066286 @default.
- W58821489 cites W1515242458 @default.
- W58821489 cites W1524326598 @default.
- W58821489 cites W1526097585 @default.
- W58821489 cites W1575323954 @default.
- W58821489 cites W1589927998 @default.
- W58821489 cites W1603903339 @default.
- W58821489 cites W1642681790 @default.
- W58821489 cites W1645969895 @default.
- W58821489 cites W1899161704 @default.
- W58821489 cites W1964992876 @default.
- W58821489 cites W1975062332 @default.
- W58821489 cites W1992334729 @default.
- W58821489 cites W2013567125 @default.
- W58821489 cites W2041542605 @default.
- W58821489 cites W2049910836 @default.
- W58821489 cites W2059334100 @default.
- W58821489 cites W2059718122 @default.
- W58821489 cites W2070461923 @default.
- W58821489 cites W2074264162 @default.
- W58821489 cites W2099925654 @default.
- W58821489 cites W2120450109 @default.
- W58821489 cites W2129632913 @default.
- W58821489 cites W2133091666 @default.
- W58821489 cites W2134067266 @default.
- W58821489 cites W2137099275 @default.
- W58821489 cites W2142857211 @default.
- W58821489 cites W2145787679 @default.
- W58821489 cites W2153409221 @default.
- W58821489 cites W2155573334 @default.
- W58821489 cites W2157815868 @default.
- W58821489 cites W2159080219 @default.
- W58821489 cites W2161908604 @default.
- W58821489 cites W2163343325 @default.
- W58821489 cites W2166856700 @default.
- W58821489 cites W275687840 @default.
- W58821489 cites W2963429013 @default.
- W58821489 cites W2963762120 @default.
- W58821489 cites W2964052841 @default.
- W58821489 cites W3133236490 @default.
- W58821489 cites W1510457544 @default.
- W58821489 hasPublicationYear "2010" @default.
- W58821489 type Work @default.
- W58821489 sameAs 58821489 @default.
- W58821489 citedByCount "66" @default.
- W58821489 countsByYear W588214892012 @default.
- W58821489 countsByYear W588214892013 @default.
- W58821489 countsByYear W588214892014 @default.
- W58821489 countsByYear W588214892015 @default.
- W58821489 countsByYear W588214892016 @default.
- W58821489 countsByYear W588214892017 @default.
- W58821489 countsByYear W588214892018 @default.
- W58821489 countsByYear W588214892019 @default.
- W58821489 countsByYear W588214892020 @default.
- W58821489 countsByYear W588214892021 @default.
- W58821489 countsByYear W588214892022 @default.
- W58821489 crossrefType "journal-article" @default.
- W58821489 hasAuthorship W58821489A5047533473 @default.
- W58821489 hasConcept C105795698 @default.
- W58821489 hasConcept C11671645 @default.
- W58821489 hasConcept C119857082 @default.
- W58821489 hasConcept C121332964 @default.
- W58821489 hasConcept C149782125 @default.
- W58821489 hasConcept C151730666 @default.
- W58821489 hasConcept C154945302 @default.
- W58821489 hasConcept C155846161 @default.
- W58821489 hasConcept C158600405 @default.
- W58821489 hasConcept C163504300 @default.
- W58821489 hasConcept C185592680 @default.
- W58821489 hasConcept C198531522 @default.
- W58821489 hasConcept C23131810 @default.
- W58821489 hasConcept C2522767166 @default.
- W58821489 hasConcept C2776214188 @default.
- W58821489 hasConcept C2779343474 @default.
- W58821489 hasConcept C33923547 @default.
- W58821489 hasConcept C39890363 @default.
- W58821489 hasConcept C41008148 @default.
- W58821489 hasConcept C43617362 @default.
- W58821489 hasConcept C62520636 @default.
- W58821489 hasConcept C64357122 @default.
- W58821489 hasConcept C86803240 @default.
- W58821489 hasConceptScore W58821489C105795698 @default.
- W58821489 hasConceptScore W58821489C11671645 @default.
- W58821489 hasConceptScore W58821489C119857082 @default.
- W58821489 hasConceptScore W58821489C121332964 @default.
- W58821489 hasConceptScore W58821489C149782125 @default.
- W58821489 hasConceptScore W58821489C151730666 @default.
- W58821489 hasConceptScore W58821489C154945302 @default.
- W58821489 hasConceptScore W58821489C155846161 @default.
- W58821489 hasConceptScore W58821489C158600405 @default.
- W58821489 hasConceptScore W58821489C163504300 @default.