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Generalized Thompson Sampling for Sequential Decision-Making and Causal Inference
Generalized Thompson Sampling Sequential Decision-Making Causal Inference
2013/5/2
Recently, it has been shown how sampling actions from the predictive distribution over the optimal action-sometimes called Thompson sampling-can be applied to solve sequential adaptive control problem...
Causal inference in longitudinal studies with history-restricted marginal structural models
causal inference counterfactual marginal structuralmodel longitudinal study IPTW G-computation Double Robust
2010/4/29
A new class of Marginal Structural Models (MSMs), History-
Restricted MSMs (HRMSMs), was recently introduced for longitudinal data
for the purpose of defining causal parameters which may often be be...