Zobrazeno 1 - 10 of 219 304 pro vyhledávání: '"probability and uncertainty"'
2
Statistical Inference for High-Dimensional Linear Regression with Blockwise Missing Data
Autor: Xue, Fei, Ma, Rong, Li, Hongzhe
Publikováno v: Statistica Sinica.
Blockwise missing data occurs frequently when we integrate multisource or multimodality data where different sources or modalities contain complementary information. In this paper, we consider a high-dimensional linear regression model with blockwise
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9f72698355050bd5a8103146b0bb61e
https://doi.org/10.5705/ss.202022.0104
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9
Hypothesis Test on a Mixture Forward-Incubation-Time Epidemic Model With Application to COVID-19 Outbreak
Autor: Wang, Chunlin, Li, Pengfei, Liu, Yukun, Zhou, Xiao-Hua, Qin, Jing
Publikováno v: Statistica Sinica.
The distribution of the incubation period of the novel coronavirus disease that emerged in 2019 (COVID-19) has crucial clinical implications for understanding this disease and devising effective disease-control measures. Qin et al. (2020) designed a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::885f1498c86be82497526fb89aaf843f
https://doi.org/10.5705/ss.202020.0318
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10
On Rate Optimal Private Regression Under Local Differential Privacy
Autor: Györfi, László, Kroll, Martin
Publikováno v: Statistica Sinica.
We consider the problem of estimating a regression function from anonymized data in the framework of local differential privacy. We propose a novel partitioning estimate of the regression function, derive a rate of convergence for the excess predicti
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a41abc7d2416b1d41c53adf2145b901
https://doi.org/10.5705/ss.202022.0186
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Plný text Recenzováno Digitální knihovna AV ČR
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