Henzi, AlexanderAlexanderHenziMösching, AlexandreAlexandreMöschingDümbgen, LutzLutzDümbgen2022-05-022022-05-022022https://resolver.sub.uni-goettingen.de/purl?gro-2/107445Abstract In the context of estimating stochastically ordered distribution functions, the pool-adjacent-violators algorithm (PAVA) can be modified such that the computation times are reduced substantially. This is achieved by studying the dependence of antitonic weighted least squares fits on the response vector to be approximated.enCC BY 4.0https://creativecommons.org/licenses/by/4.0Accelerating the Pool-Adjacent-Violators Algorithm for Isotonic Distributional Regressionjournal_article10.1007/s11009-022-09937-29937