標(biāo)題: Titlebook: Asymptotic Nonparametric Statistical Analysis of Stationary Time Series; Daniil Ryabko Book 2019 The Author(s), under exclusive license to [打印本頁] 作者: Racket 時間: 2025-3-21 19:55
書目名稱Asymptotic Nonparametric Statistical Analysis of Stationary Time Series影響因子(影響力)
書目名稱Asymptotic Nonparametric Statistical Analysis of Stationary Time Series影響因子(影響力)學(xué)科排名
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書目名稱Asymptotic Nonparametric Statistical Analysis of Stationary Time Series網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Asymptotic Nonparametric Statistical Analysis of Stationary Time Series被引頻次
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書目名稱Asymptotic Nonparametric Statistical Analysis of Stationary Time Series讀者反饋
書目名稱Asymptotic Nonparametric Statistical Analysis of Stationary Time Series讀者反饋學(xué)科排名
作者: TSH582 時間: 2025-3-21 20:58
The Einstein-Podolsky-Rosen problem,of the assumption of stationarity. This and other related models considered in the literature are discussed and compared. Furthermore, a general and informal overview of the results presented in the book is given, highlighting the interplay between impossibility and consistency results.作者: entrance 時間: 2025-3-22 03:30
Fundamental Theories of Physicsn how to construct consistent estimates of a distance between stationary ergodic process distributions. As an easy application of this construction, an algorithm for solving the so-called three-sample problem for this class of processes is presented. On the other hand, it is demonstrated that there 作者: 浪蕩子 時間: 2025-3-22 08:30
The Einstein-Podolsky-Rosen problem,same distributions, while change-point problems are concerned with delimiting parts of a sample that are generated by a different process distributions. Building on the results of the previous chapter, here we are trying to solve these more general problems avoiding the need to answer the “same-diff作者: 為敵 時間: 2025-3-22 10:09
The Einstein-Podolsky-Rosen problem,l formulation encompasses a variety of problems, including model verification, such as testing that a process is Markov versus it is stationarity ergodic but not Markov, and property testing, such as testing for independence or homogeneity. This chapter is concerned with the general problem of chara作者: Anterior 時間: 2025-3-22 16:53
The Einstein-Podolsky-Rosen problem,o distances other than the distributional distance are considered, as well as non-stationary processes and processes more general than time series, such as multidimensional processes and processes on infinite random graphs.作者: 先驅(qū) 時間: 2025-3-22 19:07 作者: APO 時間: 2025-3-22 23:13 作者: Banquet 時間: 2025-3-23 04:15 作者: 保守 時間: 2025-3-23 06:17 作者: 滑稽 時間: 2025-3-23 12:49 作者: 使出神 時間: 2025-3-23 15:01 作者: Oligarchy 時間: 2025-3-23 18:22
The Einstein-Podolsky-Rosen problem,o distances other than the distributional distance are considered, as well as non-stationary processes and processes more general than time series, such as multidimensional processes and processes on infinite random graphs.作者: 誘惑 時間: 2025-3-24 00:50 作者: 平息 時間: 2025-3-24 05:04 作者: 危機(jī) 時間: 2025-3-24 07:38
2191-5768 ractive assumption to base statistical analysis on, especially for problems for which less general qualitative assumptions, such as independence or finite memory, clearly fail. However, it has long been considered too general to be able to make statistical inference. One of the reasons for this is t作者: ANA 時間: 2025-3-24 12:21
Fundamental Theories of Physicsn algorithm for solving the so-called three-sample problem for this class of processes is presented. On the other hand, it is demonstrated that there is no asymptotically consistent test for the problem of discrimination (homogeneity testing) for stationary ergodic processes, even if one only considers binary-valued processes.作者: Osteoarthritis 時間: 2025-3-24 15:12 作者: aerobic 時間: 2025-3-24 19:35
Book 2019sumption to base statistical analysis on, especially for problems for which less general qualitative assumptions, such as independence or finite memory, clearly fail. However, it has long been considered too general to be able to make statistical inference. One of the reasons for this is that rates 作者: 鍍金 時間: 2025-3-25 02:48
The Einstein-Podolsky-Rosen problem,topology of the distributional distance. Some examples and applications are considered. In addition, a variety of open problems concerning hypothesis testing for stationary ergodic processes is presented. Unlike the preceding chapters, here the attention is restricted to processes with a finite alphabet.作者: 火花 時間: 2025-3-25 05:47 作者: 油氈 時間: 2025-3-25 11:03 作者: 相符 時間: 2025-3-25 15:09
Clustering and Change-Point Problems,of all the processes in question may be the same. For the change-point problem, the main focus of this chapter is on the case of a single change; on overview of the more general formulations is given, with the corresponding results presented without proofs.作者: Omnipotent 時間: 2025-3-25 17:35
The Einstein-Podolsky-Rosen problem,of all the processes in question may be the same. For the change-point problem, the main focus of this chapter is on the case of a single change; on overview of the more general formulations is given, with the corresponding results presented without proofs.作者: 事物的方面 時間: 2025-3-25 23:54 作者: 斜 時間: 2025-3-26 02:42
2191-5768 ming stationarity alone. While for most of the problem for which? a solution is found this solution is algorithmically realizable, the main objective in this ar978-3-030-12563-9978-3-030-12564-6Series ISSN 2191-5768 Series E-ISSN 2191-5776 作者: 項目 時間: 2025-3-26 08:05 作者: 有抱負(fù)者 時間: 2025-3-26 09:02
Basic Inference,n how to construct consistent estimates of a distance between stationary ergodic process distributions. As an easy application of this construction, an algorithm for solving the so-called three-sample problem for this class of processes is presented. On the other hand, it is demonstrated that there 作者: 人造 時間: 2025-3-26 13:21
Clustering and Change-Point Problems,same distributions, while change-point problems are concerned with delimiting parts of a sample that are generated by a different process distributions. Building on the results of the previous chapter, here we are trying to solve these more general problems avoiding the need to answer the “same-diff作者: 痛苦一下 時間: 2025-3-26 20:36
Hypothesis Testing,l formulation encompasses a variety of problems, including model verification, such as testing that a process is Markov versus it is stationarity ergodic but not Markov, and property testing, such as testing for independence or homogeneity. This chapter is concerned with the general problem of chara作者: 盤旋 時間: 2025-3-27 00:34
Generalizations,o distances other than the distributional distance are considered, as well as non-stationary processes and processes more general than time series, such as multidimensional processes and processes on infinite random graphs.作者: 忍耐 時間: 2025-3-27 02:26
9樓作者: LANCE 時間: 2025-3-27 08:53
9樓作者: 做事過頭 時間: 2025-3-27 13:07
9樓作者: 口訣 時間: 2025-3-27 15:13
10樓作者: 過度 時間: 2025-3-27 20:54
10樓作者: ARBOR 時間: 2025-3-27 23:48
10樓作者: Abduct 時間: 2025-3-28 05:32
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