Racket
发表于 2025-3-21 19:55:47
书目名称Asymptotic Nonparametric Statistical Analysis of Stationary Time Series影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0163820<br><br> <br><br>书目名称Asymptotic Nonparametric Statistical Analysis of Stationary Time Series影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0163820<br><br> <br><br>书目名称Asymptotic Nonparametric Statistical Analysis of Stationary Time Series网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0163820<br><br> <br><br>书目名称Asymptotic Nonparametric Statistical Analysis of Stationary Time Series网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0163820<br><br> <br><br>书目名称Asymptotic Nonparametric Statistical Analysis of Stationary Time Series被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0163820<br><br> <br><br>书目名称Asymptotic Nonparametric Statistical Analysis of Stationary Time Series被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0163820<br><br> <br><br>书目名称Asymptotic Nonparametric Statistical Analysis of Stationary Time Series年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0163820<br><br> <br><br>书目名称Asymptotic Nonparametric Statistical Analysis of Stationary Time Series年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0163820<br><br> <br><br>书目名称Asymptotic Nonparametric Statistical Analysis of Stationary Time Series读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0163820<br><br> <br><br>书目名称Asymptotic Nonparametric Statistical Analysis of Stationary Time Series读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0163820<br><br> <br><br>
TSH582
发表于 2025-3-21 20:58:08
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.
entrance
发表于 2025-3-22 03:30:35
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
浪荡子
发表于 2025-3-22 08:30:55
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
为敌
发表于 2025-3-22 10:09:10
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
Anterior
发表于 2025-3-22 16:53:14
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.
先驱
发表于 2025-3-22 19:07:19
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APO
发表于 2025-3-22 23:13:18
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Banquet
发表于 2025-3-23 04:15:45
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保守
发表于 2025-3-23 06:17:39
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