Dimension-free bounds for sums of dependent matrices and operators with heavy-tailed distributions

IF 1 4区 数学 Q3 STATISTICS & PROBABILITY Electronic Journal of Statistics Pub Date : 2024-01-01 DOI:10.1214/24-ejs2224
Shogo H. Nakakita, Pierre Alquier, Masaaki Imaizumi
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重尾分布依存矩阵和算子之和的无维度边界
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来源期刊
Electronic Journal of Statistics
Electronic Journal of Statistics STATISTICS & PROBABILITY-
CiteScore
1.80
自引率
9.10%
发文量
100
审稿时长
3 months
期刊介绍: The Electronic Journal of Statistics (EJS) publishes research articles and short notes on theoretical, computational and applied statistics. The journal is open access. Articles are refereed and are held to the same standard as articles in other IMS journals. Articles become publicly available shortly after they are accepted.
期刊最新文献
Dimension-free bounds for sums of dependent matrices and operators with heavy-tailed distributions A tradeoff between false discovery and true positive proportions for sparse high-dimensional logistic regression A penalised bootstrap estimation procedure for the explained Gini coefficient Random permutations generated by delay models and estimation of delay distributions Regression analysis of partially linear transformed mean residual life models
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