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2015, ISBN 9780521885881, xix, 625
.... In this approach, causal effects are comparisons of such potential outcomes. The fundamental problem of causal inference is that we can only observe one of the potential outcomes for a particular... 
Inference | Research | Social sciences | Causation | Causal Models | Labor Market | Social Sciences | Probability | Scores | Research Methodology | Statistics | Experiments | Biomedicine | Statistical Inference | Statistical Distributions | Classification | Case Studies | Observation | Sampling | Statistical Analysis
Book
Journal of statistical software, ISSN 1548-7660, 2011, Volume 42, Issue 8, pp. 1 - 28
.... MatchIt implements a wide range of sophisticated matching methods, making it possible to greatly reduce the dependence of causal inferences on hard-to-justify, but commonly made, statistical modeling assumptions... 
Causal inference | Matching methods | Preprocessing | Balance | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology | R | balance | matching methods | causal inference | preprocessing
Journal Article
The International Journal of Biostatistics, ISSN 1557-4679, 02/2010, Volume 6, Issue 2, pp. 7 - Article 7
Journal Article
Proceedings of the National Academy of Sciences - PNAS, ISSN 1091-6490, 07/2016, Volume 113, Issue 27, pp. 7345 - 7352
Journal Article
Engineering (Beijing, China), ISSN 2095-8099, 03/2020, Volume 6, Issue 3, pp. 253 - 263
[Display omitted] Causal inference is a powerful modeling tool for explanatory analysis, which might enable current machine learning to become explainable... 
Causal inference | Negative control | Instructive variables | Causal reasoning and explanation | Counterfactual inference | Treatment effect estimation | Causal discovery | Engineering | Technology | Engineering, Multidisciplinary | Science & Technology
Journal Article
Journal of machine learning research, ISSN 1532-4435, 05/2010, Volume 11, pp. 1643 - 1662
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 03/2010, Volume 105, Issue 489, pp. 263 - 277
.... However, their application is complicated due to the unavailability of the multivariate density function, and so likelihood-based methods remain far from providing a complete and flexible framework for inference... 
Pseudo-likelihood | Rainfall | Spatial dependence | Spatial extremes | Extreme value theory | Multivariate extreme analysis | Maximum likelihood estimation | Covariance | Theory and Methods | Inference | Matrices | Spatial models | Modeling | Parametric models | Estimators | Perceptual localization | Distribution functions | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Causal inference | Maximum likelihood estimates (Statistics) | Analysis | Methods | Max-stable processes
Journal Article
Political analysis, ISSN 1047-1987, 2012, Volume 20, Issue 1, pp. 1 - 24
We discuss a method for improving causal inferences called “Coarsened Exact Matching... 
Datasets | Mathematical extrapolation | Control groups | Histograms | Control units | Inference | Pretreatment | Modeling | Estimators | Estimation methods | Government & Law | Social Sciences | Political Science
Journal Article