Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"Causal forests"”.
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Essays on Tree-based Methods for Prediction and Causal Inference
… of this thesis contains an application of causal forests to a residential electricity smart meter trial dataset. Household specific estimates are obtained for the effect of a Time-of-Use pricing scheme on peak demand. The most and least responsive households differ across education, age, …
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CAUSAL INFERENCE METHODS FOR ELECTRICAL CONSUMPTION’S ESTIMATION
… research. The study delves into the realm of causal inference, a crucial statistical tool for understanding the impacts of interventions in situations where controlled experiments are not feasible. It particularly addresses the challenge of evaluating the real effect of thermal renovations on …
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SYMBIOSIS, COGNITION, EMPATHY: SHAPING BEHAVIOR AND ENHANCING AI IN DIGITAL ECOSYSTEMS
… study examines online content engagement through causal forests, revealing nuanced effects of incivility. Mild uncivil content increases subsequent comments and novel ideas by triggering emotional arousal, while extreme incivility suppresses active participation and creativity as users experience …
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Characterizing heterogeneous treatment effects of couple relationship education : a machine learning approach
… treatment effects of CRE. Study 1 employed causal forests (Athey et al., 2019) to investigate the extent to which pretreatment risk factors contribute to heterogeneity in treatment outcomes using data from a large-scale randomized controlled trial (RCT) of couple relationship education (N = …
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Predictive and Prescriptive Analytics in Operations Management
… like CART, or an collection of trees like Random Forests or Gradient Boosting methods, XSTrees learns the entire probability distribution over the tree space. This approach results in good theoretical guarantees and has a significant edge over other ensemble methods in terms of performance. …
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Essays in industrial organization
… largest online advertising platform and employs causal forest, a novel causal machine learning method, to estimate heterogeneous user click rates based on extensive browsing and ad exposure data from more than 1.6 million internet users. Simulations of user and platform behavior reveal that …