Zobrazeno 1 - 10
of 210
pro vyhledávání: '"Clark, Glymour"'
Autor:
Clark Glymour
The second edition of a unique introductory text, offering an account of the logical tradition in philosophy and its influence on contemporary scientific disciplines.Thinking Things Through offers a broad, historical, and rigorous introduction to the
Autor:
Jakob Runge, Sebastian Bathiany, Erik Bollt, Gustau Camps-Valls, Dim Coumou, Ethan Deyle, Clark Glymour, Marlene Kretschmer, Miguel D. Mahecha, Jordi Muñoz-Marí, Egbert H. van Nes, Jonas Peters, Rick Quax, Markus Reichstein, Marten Scheffer, Bernhard Schölkopf, Peter Spirtes, George Sugihara, Jie Sun, Kun Zhang, Jakob Zscheischler
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
Questions of causality are ubiquitous in Earth system sciences and beyond, yet correlation techniques still prevail. This Perspective provides an overview of causal inference methods, identifies promising applications and methodological challenges, a
Externí odkaz:
https://doaj.org/article/c9cb78b8c1d74e3fbd7d14afb1c5eee7
Autor:
Ruben Sanchez-Romero, Joseph D. Ramsey, Kun Zhang, Madelyn R. K. Glymour, Biwei Huang, Clark Glymour
Publikováno v:
Network Neuroscience, Vol 3, Iss 2, Pp 274-306 (2019)
We test the adequacies of several proposed and two new statistical methods for recovering the causal structure of systems with feedback from synthetic BOLD time series. We compare an adaptation of the first correct method for recovering cyclic linear
Externí odkaz:
https://doaj.org/article/5f701e87d17b49db9e340fbd020c66f4
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
A fundamental task in various disciplines of science, including biology, is to find underlying causal relations and make use of them. Causal relations can be seen if interventions are properly applied; however, in many cases they are difficult or eve
Externí odkaz:
https://doaj.org/article/7146c4b4881c4ac9a2360c1bf438eb1d
Autor:
Clark Glymour
Publikováno v:
Scientific Realism ISBN: 9780520337442
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7a1490e3ae194b6c23cbbe9cf81f701
https://doi.org/10.2307/jj.2430495.12
https://doi.org/10.2307/jj.2430495.12
Autor:
Clark Glymour
The use of Bayes nets and graphical causal models in the investigation of human learning of causal relations, and in modeling and inference in cognitive psychology.In recent years, small groups of statisticians, computer scientists, and philosophers
The authors address the assumptions and methods that allow us to turn observations into causal knowledge, and use even incomplete causal knowledge in planning and prediction to influence and control our environment.What assumptions and methods allow
Publikováno v:
AAAI
A number of approaches to causal discovery assume that there are no hidden confounders and are designed to learn a fixed causal model from a single data set. Over the last decade, with closer cooperation across laboratories, we are able to accumulate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a6b283295b10febe83e966debbebb9f
https://doi.org/10.1609/aaai.v34i06.6575
https://doi.org/10.1609/aaai.v34i06.6575
Publikováno v:
Open Philosophy, Vol 2, Iss 1, Pp 39-48 (2019)
A central theme in western philosophy was to find formal methods that can reliably discover empirical relationships and their explanations from data assembled from experience. As a philosophical project, that ambition was abandoned in the 20th centur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9920b06af93d80274bda32ce3ea9a45
https://doi.org/10.1515/opphil-2019-0005
https://doi.org/10.1515/opphil-2019-0005
Autor:
Clark Glymour
Publikováno v:
KRITERION – Journal of Philosophy. 33:1-22
The ultimate focus of the current essay is on methods of "creative abduction" that have some guarantees as reliable guides to the truth, and those that do not. Emphasizing work by Richard Englehart using data from the World Values Survey, Gerhard Sch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0e317d5705c89f85df69478542edbfa
https://doi.org/10.1515/krt-2019-330102
https://doi.org/10.1515/krt-2019-330102