Aug 12, 2016 · We present a method for causal discrimination discovery based on propensity score analysis, a statistical tool for filtering out the effect of ...
This paper proposes a causal discrimination discovery and understanding approach based on propensity score analysis, which avoids common pitfalls in ...
In this paper, we propose a causal discrimination discovery and understanding approach based on propensity score analysis. The propensity score is an effective ...
In this paper, we propose a causal discrimination discovery and understanding approach based on propensity score analysis. The propensity score is an effective ...
We present a method for causal discrimination discovery based on propensity score analysis, a statistical tool for filtering out the effect of confounding ...
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What is the causal analysis propensity score?
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In this paper, we propose a causal discrimination discovery and understanding approach based on propensity score analysis. The propensity score is an effective ...
Jun 12, 2021 · In this article, we provide an accessible overview of causal inference from observational data and two major PS-based methods (matching and ...
Abstract. The discovery of discriminatory bias in human or automated deci- sion making is a task of increasing importance and difficulty, exacerbated by the.
May 18, 2017 · In this paper, we introduce a causal modeling-based framework for anti-discrimination learning. Discrimination is categorized according to two dimensions.
Optimizing matching and analysis combinations for estimating causal effects. ... A weighting analogue to pair matching in propensity score analysis. The.