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Titlebook: Dependence in Probability and Statistics; A Survey of Recent R Ernst Eberlein,Murad S. Taqqu Book 1986 Springer Science+Business Media New

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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.
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Kinematics of Mechanisms: Velocity Diagrams,We recall the classical Kolmogorov strong law of large numbers (see e.g. [16],[17]):
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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.
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Sojourns of Multidimensional Gaussian ProcessesWe shall survey some recent results on sojourns of multidimensional stationary Gaussian processes with strongly dependent structures, given by Berman [2], Maejima [6],[7] and Taqqu [9].
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Almost sure approximations for U-statisticsU-statistics have been introduced by Hoeffding in 1948 [13] as generalizations of the sample mean. Let .., .. ... be a sequence of i.i.d real-valued random variables.
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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.
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