猛然一拉 发表于 2025-3-25 04:17:55

One-Band Hubbard Model: DMFT SolutionThe purpose of this paper is to describe the progress that has recently been made in the study of the central limit theorem and its weak invariance principle for mixing sequences of random variables and to point out some open problems in this subject.

使尴尬 发表于 2025-3-25 10:19:26

http://reply.papertrans.cn/27/2658/265741/265741_22.png

积云 发表于 2025-3-25 12:59:52

Kinematics of Mechanisms: Velocity Diagrams,We recall the classical Kolmogorov strong law of large numbers (see e.g. ,):

harangue 发表于 2025-3-25 16:09:38

On Central and Non-Central Limit Theorems for Non-Linear Functions of a Stationary Gaussian ProcessIn this paper we shall give a brief review of recent results on both the central limit theorems and the non-central limit theorems for non-linear functions of a stationary Gaussian process.

morale 发表于 2025-3-25 20:19:04

Sojourns of Multidimensional Gaussian ProcessesWe shall survey some recent results on sojourns of multidimensional stationary Gaussian processes with strongly dependent structures, given by Berman , Maejima , and Taqqu .

FLAX 发表于 2025-3-26 01:43:21

http://reply.papertrans.cn/27/2658/265741/265741_26.png

委托 发表于 2025-3-26 06:33:06

Almost sure approximations for U-statisticsU-statistics have been introduced by Hoeffding in 1948 as generalizations of the sample mean. Let .., .. ... be a sequence of i.i.d real-valued random variables.

olfction 发表于 2025-3-26 08:45:38

Recent Advances in the Central Limit Theorem and Its Weak Invariance Principle for Mixing Sequences The purpose of this paper is to describe the progress that has recently been made in the study of the central limit theorem and its weak invariance principle for mixing sequences of random variables and to point out some open problems in this subject.

使腐烂 发表于 2025-3-26 13:09:37

http://reply.papertrans.cn/27/2658/265741/265741_29.png

抱负 发表于 2025-3-26 18:13:48

http://reply.papertrans.cn/27/2658/265741/265741_30.png
页: 1 2 [3] 4 5 6
查看完整版本: Titlebook: Dependence in Probability and Statistics; A Survey of Recent R Ernst Eberlein,Murad S. Taqqu Book 1986 Springer Science+Business Media New