Optimal disclosure risk assessment
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Publication:2039783
DOI10.1214/20-AOS1975zbMath1468.62263arXiv1902.05354OpenAlexW3150461065MaRDI QIDQ2039783
Francesca Panero, Stefano Favaro, Zacharie Naulet, Federico Camerlenghi
Publication date: 5 July 2021
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1902.05354
polynomial approximationnonparametric inferencedisclosure risk assessmentmicrodata sampleoptimal minimax procedurePoisson abundance model
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- Assessing Identification Risk in Survey Microdata Using Log-Linear Models
- Concentration inequalities in the infinite urn scheme for occupancy counts and the missing mass, with applications
- Approximation of monomials by lower degree polynomials
- Elements of statistical disclosure control
- Chebyshev polynomials, moment matching, and optimal estimation of the unseen
- Bayesian nonparametric disclosure risk estimation via mixed effects log-linear models
- Inequalities for generalized hypergeometric functions
- Minimax Rates of Entropy Estimation on Large Alphabets via Best Polynomial Approximation
- Minimax Estimation of Functionals of Discrete Distributions
- Real Analysis and Applications
- THE NUMBER OF NEW SPECIES, AND THE INCREASE IN POPULATION COVERAGE, WHEN A SAMPLE IS INCREASED
- Estimating the Unseen
- Optimal prediction of the number of unseen species
- A Measure of Disclosure Risk for Microdata
- Estimating Identification Disclosure Risk Using Mixed Membership Models
- Stein's Estimation Rule and Its Competitors--An Empirical Bayes Approach
- On an Inequality for Modified Bessel Functions
- Estimating Risks of Identification Disclosure in Microdata
- Introduction to nonparametric estimation
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