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Titlebook: Differential Privacy for Dynamic Data; Jerome Le Ny Book 2020 The Author(s), under exclusive license to Springer Nature Switzerland AG 202

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Book 2020or the publication of real-time statistics based on sensitive data. Several scenarios of interest are considered, depending on the kind of estimator to be implemented and the potential availability of prior public information about the data, which can be used greatly to improve the estimators‘ perfo
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Differentially Private Nonlinear Observers,ely controlled sensitivity. Two examples are also discussed for illustration purposes: estimating the edge formation probabilities in a social network using a dynamic stochastic block model, and syndromic surveillance relying on an epidemiological model.
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Clinical Strategies in the Management of Diabetic Retinopathy978-3-319-96157-6
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Book 2011about the role of education, its funding and the egalitarian approach to widening access to education. The nexus between education, democracy and policy change is a complex one. The book provides an illuminating account of the constantly evolving notions of national identity, language and citizenshi
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