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Showing 1 to 7 of 7 for “"randomization inference"”.

  1. Causal inference for complex data: randomization inference for treatment effect heterogeneity, network outcomes, and subgroup specific effects

    … trials using the researcher controlled randomization mechanism as the basis for inference. The first method extends inference for the ``attributable effect'', the total of the difference of outcomes if the treatment group had instead been assigned to the control condition, to count and …

    uiuc Repository record for Causal inference for complex data: randomization inference for treatment effect heterogeneity, network outcomes, and subgroup specific effects (opens in a new tab)

  2. Large scale data analytics for resilience of energy networks

    … The resilience metric is then combined with randomization inference to design a framework on how to study the dynamic cost and its heterogeneity on customers with different characteristics. Our framework is validated on publicly available data from multiple states in the US.

    gatech Repository record for Large scale data analytics for resilience of energy networks (opens in a new tab)

  3. Algorithmic Approaches to Nonparametric Causal Inference

    This thesis presents procedures for performing inferences of causal parameters across an array of contexts including observational studies, completely randomized designs, paired experiments, and covariate-adaptive designs. First, we discuss an application of convex optimization to conduct …

    mit Repository record for Algorithmic Approaches to Nonparametric Causal Inference (opens in a new tab)

  4. Some Selective Inference and Optimization Methods for Reliable Causal Inference

    In recent years, causal inference has seen growing uptake and research activity, attracted attention in new fields of applications and is deployed to analyse increasingly complex data. Adopting a causal perspective often allows us to get deeper insights into the data and the underlying system but …

    cambridge Repository record for Some Selective Inference and Optimization Methods for Reliable Causal Inference (opens in a new tab)

  5. Essays in Empirical Macroeconomics and Development

    … solutions for more accurate and efficient inference. Many prominent studies in macroeconomics, labor, and trade use panel data on regions to identify the local effects of aggregate shocks. These studies regress outcomes on the interaction of an observed aggregate shock with an observed …

    mit Repository record for Essays in Empirical Macroeconomics and Development (opens in a new tab)

  6. Selected topics on design-based causal inference

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01

    uiuc Repository record for Selected topics on design-based causal inference (opens in a new tab)

  7. Randomization-based inference for distributions and quantiles of individual treatment effects

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01

    uiuc Repository record for Randomization-based inference for distributions and quantiles of individual treatment effects (opens in a new tab)