'Bayesian nonparametrics for causal inference and missing data'
* Thorough discussion of both BNP and its interplay with causal inference and missing data * How to use BNP and g-computation for causal inference and nonignorable missingness * How to derive and calibrate sensitivity parameters to assess sensitivity to d