Optimal finite sample post-selection confidence distributions in generalized linear models

Uniformly most powerful confidence distributions are obtained for parameters in selected models of the exponential family. A conditioning on selection event as well sufficient statistics nuisance guarantees valid post-selection inference. Optimal intervals directly from distribution without requiring an inversion pivotal quantities. Simulations showcase that method works also when all misspecified.