温和女孩 发表于 2025-3-23 10:21:13
Empirical Quantile CLTs for Time-dependent Data., where . is a closed sub-interval of (0, 1). The process {.. : .} may be chosen from a broad collection of Gaussian processes, compound Poisson processes, stationary independent increment stable processes, and martingales.泥瓦匠 发表于 2025-3-23 17:03:03
http://reply.papertrans.cn/43/4263/426220/426220_12.png亲密 发表于 2025-3-23 18:16:00
http://reply.papertrans.cn/43/4263/426220/426220_13.png民间传说 发表于 2025-3-23 22:52:58
http://reply.papertrans.cn/43/4263/426220/426220_14.pngFoolproof 发表于 2025-3-24 02:34:39
http://reply.papertrans.cn/43/4263/426220/426220_15.png代替 发表于 2025-3-24 07:46:56
High Dimensional Probability VI978-3-0348-0490-5Series ISSN 1050-6977 Series E-ISSN 2297-0428aristocracy 发表于 2025-3-24 14:13:38
Slepian’s Inequality, Modularity and Integral Orderingsariants are imposing to strong regularity conditions. The first part of this paper contains a unified version of Slepian’s inequality under minimal regularity conditions, covering all the variants I know about. It is well known that Slepian’s inequality is closely connected to integral orderings in秘传 发表于 2025-3-24 15:28:50
http://reply.papertrans.cn/43/4263/426220/426220_18.png绕着哥哥问 发表于 2025-3-24 19:48:50
http://reply.papertrans.cn/43/4263/426220/426220_19.pngprogestin 发表于 2025-3-25 01:40:37
Strong Log-concavity is Preserved by Convolutionon of strong log-concavity are known in the discrete setting (where strong log-concavity is known as “ultra-log-concavity”), preservation of strong logconcavity under convolution has apparently not been investigated previously in the continuous case.