Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/141144| Title: | Elements of Causal Inference |
| Authors: | Peters, Jonas Janzing, Dominik Schölkopf, Bernhard |
| Issue Date: | 2017 |
| Publisher: | The MIT Press |
| link: | http://www.oapen.org/download/?type=document&docid=1004045 |
| Keywords: | Computer Science;Causality;machine learning;statistical models;probability theory;statistics;assumptions;cause-effect models;interventions;counterfactuals;SCMs;cause-effect models;identifiability;semi-supervised learning;covariate shift;multivariate causal models;markov;faithfulness;causal minimality;do-calculus;falsifiability;potential outcomes;algorithmic independence;half-sibling regression;episodic reinforcement learning;domain adaptation;simpson's paradox;conditional independence;computer science |
| ISBN: | 9780262344296 9780262037310 |
| Theme: | 教科書-自然科學類 |
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