2 papers
stat.ML2026
A Pure Hypothesis Test for Inhomogeneous Random Graph Models Based on a Kernelised Stein Discrepancy
Anum Fatima, Gesine Reinert
Complex data are often represented as a graph, which in turn can often be viewed as a realisation of a random graph, such as an inhomogeneous random graph model (IRG). For general…
math.PR2025
Stein's method for distributions modelling competing and complementary risk problems
Anum Fatima, Gesine Reinert
Competing and Complementary risk (CCR) problems are often modelled using a class of distributions of the maximum, or minimum, of a random number of i.i.d. random variables; we call…