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Found 4 papers, 3 papers with code
Targeted Sequential Indirect Experiment Design
Scientific hypotheses typically concern specific aspects of complex, imperfectly understood or entirely unknown mechanisms, such as the effect of gene expression levels on phenotypes or how microbial communities influence environmental health.
Sequential Underspecified Instrument Selection for Cause-Effect Estimation
Instrumental variable (IV) methods are used to estimate causal effects in settings with unobserved confounding, where we cannot directly experiment on the treatment variable.
Supervised Learning and Model Analysis with Compositional Data
We propose KernelBiome, a kernel-based nonparametric regression and classification framework for compositional data.
Instrumental Variable Estimation for Compositional Treatments
Many scientific datasets are compositional in nature.
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