2 citations · 5 across the 12 of their papers we have counts for
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math.OC2022
Covering of high-dimensional sets
Anatoly Zhigljavsky, Jack Noonan
Let be a metric space and be a Borel measure on this space defined on the -algebra generated by open subsets of ; this measure defines vol…
math.OC2022★ 1 cited
Improving exploration strategies in large dimensions and rate of convergence of global random search algorithms
Jack Noonan, Anatoly Zhigljavsky
We consider global optimization problems, where the feasible region $\X$ is a compact subset of with . For these problems, we demonstrate the following. F…
stat.ME2022
An integrated approach to test for missing not at random
Jack Noonan, Adetola Adedamola Adediran, Robin Mitra +1
Missing data can lead to inefficiencies and biases in analyses, in particular when data are missing not at random (MNAR). It is thus vital to understand and correctly identify the…