313 citations · 1.6k across the 58 of their papers we have counts for
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Parameter and Structure Learning in Nested Markov Models
Ilya Shpitser, Thomas S. Richardson, James M. Robins +1
The constraints arising from DAG models with latent variables can be naturally represented by means of acyclic directed mixed graphs (ADMGs). Such graphs contain directed and bidir…
On the Validity of Covariate Adjustment for Estimating Causal Effects
Ilya Shpitser, Tyler VanderWeele, James M. Robins
Identifying effects of actions (treatments) on outcome variables from observational data and causal assumptions is a fundamental problem in causal inference. This identification is…
An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models
Ilya Shpitser, Thomas S. Richardson, James M. Robins
Probabilistic inference in graphical models is the task of computing marginal and conditional densities of interest from a factorized representation of a joint probability distribu…