Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Reinhard Tent"'
Publikováno v:
Privacy in Statistical Databases ISBN: 9783031139444
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::889bdbeca57de1a87966e24c41781ece
https://doi.org/10.1007/978-3-031-13945-1_6
https://doi.org/10.1007/978-3-031-13945-1_6
Autor:
Michael Kohler, Reinhard Tent
Publikováno v:
Metrika. 83:141-169
Given a costly to compute function $$m: {\mathbb {R}}^d\rightarrow {\mathbb {R}}$$, which is part of a simulation model, and an $${\mathbb {R}}^d$$-valued random variable with known distribution, the problem of estimating a quantile $$q_{m(X),\alpha
Publikováno v:
Privacy in Statistical Databases ISBN: 9783030575205
PSD
PSD
When deciding on the parameters of the Cell Key method (c.f. [2, 3, 5, 8, 10]), agencies should take into account disclosure risk issues connected to candidate parametrizations. The present paper offers suggestions for analytical calculation of certa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f787c3795f40100aeebc2582a9fe386
https://doi.org/10.1007/978-3-030-57521-2_11
https://doi.org/10.1007/978-3-030-57521-2_11
Publikováno v:
Annals of the Institute of Statistical Mathematics. 70:439-465
Nonparametric estimation of a quantile of a random variable m(X) is considered, where $$m: \mathbb {R}^d\rightarrow \mathbb {R}$$ is a function which is costly to compute and X is a $$\mathbb {R}^d$$ -valued random variable with a given density. An i
Publikováno v:
Privacy in Statistical Databases ISBN: 9783319997704
PSD
PSD
In the development of so called “Confidentiality on the fly” methodology building on random noise implemented with a cell key method, a number of issues have to be addressed. First, there is the choice of the probability distributions for the noi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c1ad6c4054cedf2c51758bee2d8fe4c
https://doi.org/10.1007/978-3-319-99771-1_3
https://doi.org/10.1007/978-3-319-99771-1_3