Module causal_kernels 

Causal Inference Kernel Methods

This module implements kernel methods for causal inference, including treatment effect estimation, interventional distributions, counterfactual reasoning, and causal discovery from observational data.

References

• Pearl (2009): “Causality: Models, Reasoning and Inference”
• Schölkopf et al. (2021): “Toward Causal Representation Learning”
• Peters et al. (2017): “Elements of Causal Inference”
• Gretton et al. (2012): “Kernel-based conditional independence test”

Structs

CausalKernel

Causal Kernel for Treatment Effect Estimation

CausalKernelConfig

Configuration for causal kernel methods

CounterfactualKernel

Counterfactual Kernel Approximation

Enums

CausalMethod

Types of causal analysis methods