Kernel-based covariate functional balancing for observational studies. Academic Article uri icon


  • Covariate balance is often advocated for objective causal inference since it mimics randomization in observational data. Unlike methods that balance specific moments of covariates, our proposal attains uniform approximate balance for covariate functions in a reproducing-kernel Hilbert space. The corresponding infinite-dimensional optimization problem is shown to have a finite-dimensional representation in terms of an eigenvalue optimization problem. Large-sample results are studied, and numerical examples show that the proposed method achieves better balance with smaller sampling variability than existing methods.

published proceedings

  • Biometrika

altmetric score

  • 1

author list (cited authors)

  • Wong, R., & Chan, K.

citation count

  • 16

complete list of authors

  • Wong, Raymond KW||Chan, Kwun Chuen Gary

publication date

  • March 2018