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標題: Titlebook: Asymptotic Theory of Weakly Dependent Random Processes; Emmanuel Rio Book 2017 Springer-Verlag GmbH Germany 2017 60-01, 60F05, 60F15, 60F1 [打印本頁]

作者: Reticent    時間: 2025-3-21 17:16
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作者: 廢墟    時間: 2025-3-21 23:46
2199-3130 The book is an updated and extended translation of the French edition entitled "Théorie asymptotique des processus aléatoires faiblement dépendants" (Springer, 2000). It will be useful for students and research978-3-662-57191-0978-3-662-54323-8Series ISSN 2199-3130 Series E-ISSN 2199-3149
作者: Kaleidoscope    時間: 2025-3-22 01:34
Book 2017xing in the case of irreducible Markov chains. Each chapter ends with a set of exercises..The book is an updated and extended translation of the French edition entitled "Théorie asymptotique des processus aléatoires faiblement dépendants" (Springer, 2000). It will be useful for students and research
作者: 削減    時間: 2025-3-22 06:21
Asymptotic Theory of Weakly Dependent Random Processes978-3-662-54323-8Series ISSN 2199-3130 Series E-ISSN 2199-3149
作者: 主動    時間: 2025-3-22 09:27

作者: SHRIK    時間: 2025-3-22 16:15
Emmanuel RioEach chapter ends with a set of exercises.Provides a detailed exposition of optimal asymptotics results for strongly mixing sequences.English translation is an updated and revised edition.Includes sup
作者: TRACE    時間: 2025-3-22 19:40

作者: cylinder    時間: 2025-3-22 23:37

作者: 鑲嵌細工    時間: 2025-3-23 04:52
https://doi.org/10.1007/978-3-642-97294-2In this chapter, we start by giving upper bounds for algebraic moments of partial sums from a strongly mixing sequence. These inequalities are similar to Rosenthal’s inequalities (Rosenthal, Israel J Math, 8:273–303, 1970) concerning moments of sums of independent random variables.
作者: Gerontology    時間: 2025-3-23 09:37
Extinction and Long-Time Relaxation,In this chapter, we are interested in extensions of the classical maximal inequalities of Kolmogorov and Doob to weakly dependent sequences. Here we adapt previously known tools to the context of weakly dependent sequences. In Sect.?., we give a maximal inequality for second-order moments of the maximum of partial sums.
作者: 爭吵加    時間: 2025-3-23 10:28
https://doi.org/10.1007/978-3-642-45479-0One of the most popular techniques to obtain limit theorems for dependent processes is to replace the initial sequence by a sequence with finite range dependence.
作者: 領先    時間: 2025-3-23 16:46

作者: Endoscope    時間: 2025-3-23 20:04
David M. Williams,Malte C. EbachIn this chapter we are interested in functional limit theorems for the empirical distribution function associated to a stationary and strongly mixing sequence of random variables with values in ..
作者: 外面    時間: 2025-3-23 22:37

作者: Alcove    時間: 2025-3-24 05:07
The Variance of Partial Sums,In order to study the deviation and the limiting distribution of a partial sum of real-valued random variables, one of the main steps is to study the variance of this sum.
作者: Etching    時間: 2025-3-24 09:58
Algebraic Moments, Elementary Exponential Inequalities,In this chapter, we start by giving upper bounds for algebraic moments of partial sums from a strongly mixing sequence. These inequalities are similar to Rosenthal’s inequalities (Rosenthal, Israel J Math, 8:273–303, 1970) concerning moments of sums of independent random variables.
作者: Nonporous    時間: 2025-3-24 11:44
Maximal Inequalities and Strong Laws,In this chapter, we are interested in extensions of the classical maximal inequalities of Kolmogorov and Doob to weakly dependent sequences. Here we adapt previously known tools to the context of weakly dependent sequences. In Sect.?., we give a maximal inequality for second-order moments of the maximum of partial sums.
作者: 不愛防注射    時間: 2025-3-24 16:28
Mixing and Coupling,One of the most popular techniques to obtain limit theorems for dependent processes is to replace the initial sequence by a sequence with finite range dependence.
作者: 閑蕩    時間: 2025-3-24 19:04

作者: bromide    時間: 2025-3-25 00:05
Empirical Distribution Functions,In this chapter we are interested in functional limit theorems for the empirical distribution function associated to a stationary and strongly mixing sequence of random variables with values in ..
作者: 松軟    時間: 2025-3-25 03:56
Empirical Processes Indexed by Classes of Functions,In this chapter, we give new uniform central limit theorems for general empirical processes indexed by classes of sets or classes of functions. In Sect.?., we consider convex sets of functions embedded in spaces of regular functions.
作者: 原告    時間: 2025-3-25 09:51
https://doi.org/10.1007/978-3-642-45479-0 of real-valued random variables. In Sect.?., we give the extension of Ibragimov’s central limit theorem for partial sums of a strongly mixing sequence of bounded random variables to unbounded random variables, due to Doukhan et al. (Annales inst. H. Poincaré Probab. Statist. 30:63–82, 1994).
作者: Accessible    時間: 2025-3-25 14:59
https://doi.org/10.1007/978-1-84882-023-4ve conditions implying strong mixing in the sense of Rosenblatt (1956) or .-mixing. Here we mainly focus on Markov chains which fail to be .-mixing (we refer to Bradley (1986) for a precise definition of .-mixing). Let us mention that .-mixing essentially needs a spectral gap condition in . for the
作者: 克制    時間: 2025-3-25 19:39
https://doi.org/10.1007/978-3-662-54323-860-01, 60F05, 60F15, 60F17, 60E15, 60G10, 60J10, 62G07; strongly mixing sequences; absolutely regular
作者: Apraxia    時間: 2025-3-25 22:44

作者: brassy    時間: 2025-3-26 01:13

作者: AXIS    時間: 2025-3-26 07:35

作者: endure    時間: 2025-3-26 12:31
Irreducible Markov Chains,ve conditions implying strong mixing in the sense of Rosenblatt (1956) or .-mixing. Here we mainly focus on Markov chains which fail to be .-mixing (we refer to Bradley (1986) for a precise definition of .-mixing). Let us mention that .-mixing essentially needs a spectral gap condition in . for the
作者: 收養(yǎng)    時間: 2025-3-26 16:42
2199-3130 h translation is an updated and revised edition.Includes sup.Presenting tools to aid understanding of asymptotic theory and weakly dependent processes, this book is devoted to inequalities and limit theorems for sequences of random variables that are strongly mixing in the sense of Rosenblatt, or ab
作者: 祝賀    時間: 2025-3-26 17:15
https://doi.org/10.1007/978-1-84882-023-4e refer to Bradley (1986) for a precise definition of .-mixing). Let us mention that .-mixing essentially needs a spectral gap condition in . for the transition probability kernel. This condition is often too restrictive for the applications in econometric theory or nonparametric statistics.
作者: GULP    時間: 2025-3-27 00:31
Irreducible Markov Chains,e refer to Bradley (1986) for a precise definition of .-mixing). Let us mention that .-mixing essentially needs a spectral gap condition in . for the transition probability kernel. This condition is often too restrictive for the applications in econometric theory or nonparametric statistics.
作者: ASTER    時間: 2025-3-27 04:22
Book 2017r sequences of random variables that are strongly mixing in the sense of Rosenblatt, or absolutely regular...The first chapter introduces covariance inequalities under strong mixing or absolute regularity. These covariance inequalities are applied in Chapters 2, 3 and 4 to moment inequalities, rates
作者: conscience    時間: 2025-3-27 06:06
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