618 citations · 1.9k across the 59 of their papers we have counts for
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DIET: Conditional independence testing with marginal dependence measures of residual information
Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey +1
Conditional randomization tests (CRTs) assess whether a variable is predictive of another variable , having observed covariates . CRTs require fitting a large number of p…
Conditional average treatment effect estimation with marginally constrained models
Wouter A. C. van Amsterdam, Rajesh Ranganath
Treatment effect estimates are often available from randomized controlled trials as a single average treatment effect for a certain patient population. Estimates of the conditional…
Causal Estimation with Functional Confounders
Aahlad Puli, Adler J. Perotte, Rajesh Ranganath
Causal inference relies on two fundamental assumptions: ignorability and positivity. We study causal inference when the true confounder value can be expressed as a function of the…
Holdout predictive checks for Bayesian model criticism
Gemma E. Moran, David M. Blei, Rajesh Ranganath
Bayesian modeling helps applied researchers articulate assumptions about their data and develop models tailored for specific applications. Thanks to good methods for approximate po…