Results 11 to 20 of about 1,662,299 (305)
Twenty-One Arguments against Propensity Analyses of Probability [PDF]
I argue that any broadly dispositional analysis of probability will either fail to give an adequate explication of probability, or else will fail to provide an explication that can be gainfully employed elsewhere (for instance, in empirical science or in the regulation of credence).
Eagle, Antony, Antony Eagle
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Time and the propensity interpretation of probability
The prime concern of this paper is with the nature of probability. It is argued that questions concerning the nature of probability are intimately linked to questions about the nature of time. The case study here concerns the single case propensity interpretation of probability.
Shanks, Niall, Niall Shanks
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The propensity interpretation of fitness and the propensity interpretation of probability
Propose une nouvelle perspective critique sur l'interprétation propensionniste de la fitness ; plus précisément, il s'agit d'une critique de la fitness en tant que propension et de l'idée selon laquelle seule son interprétation propensionniste permettrait de rendre explicatif le principe de l'évolution par sélection naturelle.
Drouet, Isabelle
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Propensity score (PS) based methods, such as matching, stratification, regression adjustment, simple and augmented inverse probability weighting, are popular for controlling for observed confounders in observational studies of causal effects.
Tingting Zhou +2 more
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Probability, propensity and probability of propensities (and of probabilities) [PDF]
Invited contribution to the proceedings MaxEnt 2016 based on the talk given at the workshop (Ghent, Belgium, 10-15 July 2016), supplemented by work done within the program Probability and Statistics in Forensic Science at the Isaac Newton Institute for Mathematical Sciences ...
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Treatment effect in clinical trials for major depressive disorders (RCT) can be viewed as the resultant of treatment specific and non-specific effects.
Roberto Gomeni +2 more
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Estimating General Parameters from Non-Probability Surveys Using Propensity Score Adjustment
This study introduces a general framework on inference for a general parameter using nonprobability survey data when a probability sample with auxiliary variables, common to both samples, is available.
Luis Castro-Martín +2 more
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Prediction Machine Learning Models on Propensity Convicts to Criminal Recidivism
Increasing internal state security requires an understanding of the factors that influence the commission of repetitive crimes (recidivism) since the crime is not caused by public danger but by the criminal person.
Olha Kovalchuk +5 more
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Propensities and probabilities [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Using Propensity Scores for Causal Inference: Pitfalls and Tips
Methods based on propensity score (PS) have become increasingly popular as a tool for causal inference. A better understanding of the relative advantages and disadvantages of the alternative analytic approaches can contribute to the optimal choice and ...
Koichiro Shiba, Takuya Kawahara
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