Derives exact operating characteristic corrections and a numerical search over sample sizes to obtain optimal two-stage Bayes factor designs for two-arm binary-endpoint phase II trials that minimize expected sample size under the null.
year = 1989
2 Pith papers cite this work. Polarity classification is still indexing.
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SCOUT recovers nonlinear cyclic causal graphs and unknown soft intervention targets from interventional data using contractive residual flows and neural spline flows to maximize log-likelihood.
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SCOUT: Cyclic Causal Discovery Under Soft Interventions with Unknown Targets
SCOUT recovers nonlinear cyclic causal graphs and unknown soft intervention targets from interventional data using contractive residual flows and neural spline flows to maximize log-likelihood.