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Showing 2020 · stat.MEShow all
3 papers · 2 filters
stat.ME2020
Robustness on Networks
Marios Papamichalis, Simon Lunagomez, Patrick J. Wolfe
We adopt the statistical framework on robustness proposed by Watson and Holmes in 2016 and then tackle the practical challenges that hinder its applicability to network models. The…
stat.ME2020★ 1 cited
A computationally efficient, high-dimensional multiple changepoint procedure with application to global terrorism incidence
S. O. Tickle, I. A. Eckley, P. Fearnhead
Detecting changepoints in datasets with many variates is a data science challenge of increasing importance. Motivated by the problem of detecting changes in the incidence of terror…
stat.ME2020★ 1 cited
An Information Theoretic approach to Post Randomization Methods under Differential Privacy
Fadhel Ayed, Marco Battiston, Federico Camerlenghi
Post Randomization Methods (PRAM) are among the most popular disclosure limitation techniques for both categorical and continuous data. In the categorical case, given a stochastic…