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Statistical limits of graph testing

Oberseminar Finanz- und Versicherungsmathematik


Statistical limits of graph testing

Abstract

In this talk, we provide a glimpse to the statistical challenges of learning from small sample population. In particular, we discuss the problem of hypothesis testing for large graphs and demonstrate that aconventional approach can result in "unsolvable" statistical problems.
However, when the questions are posed appropriately, one can develop methods with performance guarantees. We present some applications of these methods in testing communication and biological networks.