標題: Titlebook: Probability Theory; Alexandr A. Borovkov Textbook 2013 Springer-Verlag London Ltd., part of Springer Nature 2013 Ergodicity.Large Deviatio [打印本頁] 作者: Optician 時間: 2025-3-21 17:20
書目名稱Probability Theory影響因子(影響力)
書目名稱Probability Theory影響因子(影響力)學科排名
書目名稱Probability Theory網(wǎng)絡公開度
書目名稱Probability Theory網(wǎng)絡公開度學科排名
書目名稱Probability Theory被引頻次
書目名稱Probability Theory被引頻次學科排名
書目名稱Probability Theory年度引用
書目名稱Probability Theory年度引用學科排名
書目名稱Probability Theory讀者反饋
書目名稱Probability Theory讀者反饋學科排名
作者: 行為 時間: 2025-3-21 20:39
Alexandr A. Borovkovaturally due to the relationships built between people on a daily basis. We believe that the opinion exchange among individuals is a key factor to this community construction, given that sharing opinions bounds people together, and disagreeing constantly would probably weaken a relationship. In this作者: Root494 時間: 2025-3-22 01:06 作者: 不能和解 時間: 2025-3-22 05:11
Alexandr A. Borovkovaturally due to the relationships built between people on a daily basis. We believe that the opinion exchange among individuals is a key factor to this community construction, given that sharing opinions bounds people together, and disagreeing constantly would probably weaken a relationship. In this作者: 矛盾 時間: 2025-3-22 12:34 作者: groggy 時間: 2025-3-22 16:33
Alexandr A. Borovkovwork. It is known that social networks exhibit the (first-order) assortative mixing, i.e.?if two nodes are connected, they tend to have similar node degrees, suggesting that people tend to mix with those of comparable prominence. In this paper, we report the . assortative mixing in social networks. 作者: 合群 時間: 2025-3-22 17:02
Alexandr A. Borovkovwork. It is known that social networks exhibit the (first-order) assortative mixing, i.e.?if two nodes are connected, they tend to have similar node degrees, suggesting that people tend to mix with those of comparable prominence. In this paper, we report the . assortative mixing in social networks. 作者: 代替 時間: 2025-3-22 21:14
Alexandr A. Borovkovwork. It is known that social networks exhibit the (first-order) assortative mixing, i.e.?if two nodes are connected, they tend to have similar node degrees, suggesting that people tend to mix with those of comparable prominence. In this paper, we report the . assortative mixing in social networks. 作者: 顛簸下上 時間: 2025-3-23 05:02 作者: NORM 時間: 2025-3-23 07:06 作者: PAD416 時間: 2025-3-23 12:34 作者: Plaque 時間: 2025-3-23 15:31
Alexandr A. Borovkovancial health analysis is normally based on individual behavior, lacking the holistic view of a company’s financial environment. Usually, such analysis is based on yearly/quarterly companies balance sheets that only reflect a definite financial snapshot, as well as alerts related to the transactiona作者: 頌揚國家 時間: 2025-3-23 20:48 作者: 入會 時間: 2025-3-23 23:09
Alexandr A. Borovkoveen knowledge elements are based on thematic resemblance without overarching organization based on substantiation or logical reasoning. Because it is known that associative knowledge, while important for learning too, may be very differently structured from more organized knowledge, a closer look on作者: 講個故事逗他 時間: 2025-3-24 04:34 作者: ELUDE 時間: 2025-3-24 07:08
Alexandr A. Borovkov subgraphs known as triadic motifs. Triads are a set of distinct triangles that do not share an edge with any other triangle in the network. Network motifs are subgraphs that occur significantly more often compared to random topologies. Two prominent examples, the feedforward loop and the feedback l作者: 平息 時間: 2025-3-24 12:22 作者: 責難 時間: 2025-3-24 18:28
Alexandr A. Borovkovange aiming to bring the properties to an acceptable range is called . (NTRLA). We faced an NTRLA problem when we were investigating ways to improve the efficiency of large power grids. In the search for solutions, we developed strategies to add new edges in unsupervised automatic applications. The 作者: 數(shù)量 時間: 2025-3-24 21:56
Alexandr A. Borovkovugh considerable progress has been made in the field of Trustworthy ML (TwML) in the recent past, much of the current characterization of this progress is qualitative. Consequently, decisions about how to address issues of trustworthiness and future research goals are often left to the interested re作者: Inflamed 時間: 2025-3-24 23:44
Discrete Spaces of Elementary Events,do, i.e. in the simple case of random experiments with finitely or at most countably many outcomes. The classical scheme of finitely many equally likely outcomes is discussed in more detail in Sect.?.. Then the Bernoulli scheme is introduced and the properties of the binomial distribution are studie作者: SKIFF 時間: 2025-3-25 06:08
An Arbitrary Space of Elementary Events,ecessarily countable. The concepts of algebra and sigma-algebra of sets are introduced and discussed in detail. Then the axioms of probability and, more generally, measure are presented and illustrated by several fundamental examples of measure spaces. The idea of extension of a measure is discussed作者: 英寸 時間: 2025-3-25 10:56 作者: 記憶法 時間: 2025-3-25 15:19 作者: allergy 時間: 2025-3-25 17:24
Sequences of Independent Trials with Two Outcomes,nomial probabilities is proved in Sect.?. using Stirling’s formula (covering both the normal approximation zone and the large deviations zone). The same section also contains a refinement of that result, including a bound for the relative error of the approximation, and an extension of the local lim作者: Fecundity 時間: 2025-3-25 20:18 作者: 小步舞 時間: 2025-3-26 00:49
Characteristic Functions,ated to the nature of the underlying distributions. Section?. presents the proofs of the inversion formulas for both densities and distribution functions, and also in the space of square integrable functions. Then the fundamental continuity theorem relating pointwise convergence of characteristic fu作者: Ovulation 時間: 2025-3-26 07:08
Sequences of Independent Random Variables. Limit Theorems,ntically distributed summands, both using the apparatus of characteristic functions. Section?. establishes general conditions for the Weak Law of Large Numbers for general sequences of independent random variables and also conditions for the respective convergence in mean. Section?. presents the Cen作者: outer-ear 時間: 2025-3-26 10:15
Large Deviation Probabilities for Sums of Independent Random Variables,n probabilities, Cramér’s condition is introduced and the main properties of the Cramér and Laplace transforms are discussed in Sect.?.. A separate subsection is devoted to an in-depth analysis of the key properties of the large deviation rate function, followed by Sect.?. establishing the fundament作者: 橫截,橫斷 時間: 2025-3-26 16:06
Renewal Processes,ishes the basic terminology and proves the integral renewal theorem in the case of non-identically distributed random variables. The classical Key Renewal Theorem in the arithmetic case is proved in Sect.?., including its extension to the case where random variables can assume negative values. The l作者: 責難 時間: 2025-3-26 19:08
Properties of the Trajectories of Random Walks. Zero-One Laws,e concepts of lower and upper functions are introduced. Section?. contains the first Kolmogorov inequality and several theorems on convergence of random series. Section?. presents Kolmogorov’s Strong Law of Large Numbers and Wald’s identity for stopping times. Sections?. and . are devoted to the Str作者: Intersect 時間: 2025-3-26 23:38
Random Walks and Factorisation Identities,o-called boundary functionals) are derived, and the arising problems are related to the simplest boundary problems of Complex Analysis. Section?. introduces the concept of factorisation identity and derives two fundamental identities of that kind. Some consequences of these identities, including the作者: 四牛在彎曲 時間: 2025-3-27 02:58 作者: Substitution 時間: 2025-3-27 06:07 作者: Acupressure 時間: 2025-3-27 10:32 作者: Commonplace 時間: 2025-3-27 16:06
Stationary Sequences,resents Poincaré’s theorem on the number of visits to a given set by a stationary sequence. Section?. discusses invariance, ergodicity, mixing and weak dependence. The Birkhoff–Khintchin ergodic theorem is stated and proved in Sect.?..作者: Gobble 時間: 2025-3-27 20:02
Stochastic Recursive Sequences, on ergodicity of stochastic random sequences and the boundedness thereof is presented in Sect.?., whereas the Loynes ergodic theorem for the case of monotone functions specifying the recursion is proved in Sect.?.. Section?. establishes ergodicity conditions for contracting in mean Lipschitz transf
