2 papers
cs.IT2017
Robust Kullback-Leibler Divergence and Universal Hypothesis Testing for Continuous Distributions
Pengfei Yang, Biao Chen
Universal hypothesis testing refers to the problem of deciding whether samples come from a nominal distribution or an unknown distribution that is different from the nominal distri…
cs.LO2017
Distribution-based bisimulation for labelled Markov processes
Pengfei Yang, David N. Jansen, Lijun Zhang
In this paper we propose a (sub)distribution-based bisimulation for labelled Markov processes and compare it with earlier definitions of state and event bisimulation, which both on…