Results 31 to 40 of about 206,208 (255)
Journal of Logical and Algebraic Methods in Programming32 pages, 9 ...
Ämin Baumeler +2 more
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Statistical and Causal Robustness for Causal Null Hypothesis Tests
, 2023 Prior work applying semiparametric theory to causal inference has primarily focused on deriving estimators that exhibit statistical robustness under a prespecified causal model that permits identification of a desired causal parameter. However, a fundamental challenge is correct specification of such a model, which usually involves making untestable ...
Junhui Yang +3 more
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Journal of Industrial Engineering and Management, 2015 Purpose: Environmental performance and propensity disclosure is important for stakeholders to estimate firms’ incentives in environmental management practices.
Kai Chang
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Observational Causality Testing
StatABSTRACT In prior work, we have introduced an asymptotic threshold of sufficient randomness for causal inference from observational data. In this paper, we extend that prior work in three main ways. First, we show how to empirically estimate a lower bound for the randomness from measures of concordance transported from studies of ...
Brian Knaeble +2 more
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Learning and Testing Causal Models with Interventions [PDF]
CoRR, 2018 We consider testing and learning problems on causal Bayesian networks as defined by Pearl (Pearl, 2009). Given a causal Bayesian network $\mathcal{M}$ on a graph with $n$ discrete variables and bounded in-degree and bounded `confounded components', we show that $O(\log n)$ interventions on an unknown causal Bayesian network $\mathcal{X}$ on the same ...
Acharya, J +3 more
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Does Causality Technique Matter to Savings-Growth Nexus in Malaysia?
Malaysian Management Journal, 2020 The intention of this study was to investigate whether the causal inference between savings and economic growth in Malaysia is sensitive to the particular causality tests employed to ascertain the causal relationship.
Chor Foon Tang
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CoRRCausality is widely used in fairness analysis to prevent discrimination on sensitive attributes, such as genders in career recruitment and races in crime prediction. However, the current data-based Potential Outcomes Framework (POF) often leads to untrustworthy fairness analysis results when handling high-dimensional data. To address this, we introduce
Jiarun Fu +5 more
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Predicting software defects with causality tests [PDF]
Journal of Systems and Software, 2014 Abstract In this paper, we propose a defect prediction approach centered on more robust evidences towards causality between source code metrics (as predictors) and the occurrence of defects. More specifically, we rely on the Granger causality test to evaluate whether past variations in source code metrics values can be used to forecast changes in ...
César Couto +4 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
The impact of trade openness on private consumption in a heavily import-dependent country
Cogent Economics & FinanceTrade openness plays a pivotal role in shaping economic structures, particularly in fragile and import-dependent economies. Despite its importance, limited research has examined the direct effects of trade liberalization on private consumption in such ...
Abdikani Salah Abdulle +3 more
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