標(biāo)題: Titlebook: Gaussian Random Functions; M. A. Lifshits Book 1995 Springer Science+Business Media Dordrecht 1995 Gaussian distribution.Gaussian measure. [打印本頁(yè)] 作者: 全體 時(shí)間: 2025-3-21 17:19
書目名稱Gaussian Random Functions影響因子(影響力)
書目名稱Gaussian Random Functions影響因子(影響力)學(xué)科排名
書目名稱Gaussian Random Functions網(wǎng)絡(luò)公開度
書目名稱Gaussian Random Functions網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Gaussian Random Functions被引頻次
書目名稱Gaussian Random Functions被引頻次學(xué)科排名
書目名稱Gaussian Random Functions年度引用
書目名稱Gaussian Random Functions年度引用學(xué)科排名
書目名稱Gaussian Random Functions讀者反饋
書目名稱Gaussian Random Functions讀者反饋學(xué)科排名
作者: 不能平靜 時(shí)間: 2025-3-21 23:04 作者: TRAWL 時(shí)間: 2025-3-22 01:29 作者: PLE 時(shí)間: 2025-3-22 06:24
,Schwei?- und Schwei?restspannungen,of a Brownian function implies that the space may be embedded into L., and hence an indicator model exists [B—DC—K, Gag]. A similar statement is apparently true for a wider class of spaces, for instance, for the . spaces. The homogeneity may be interpreted, for example, in the same sense as it was d作者: 健忘癥 時(shí)間: 2025-3-22 09:35 作者: Recessive 時(shí)間: 2025-3-22 16:28 作者: Recessive 時(shí)間: 2025-3-22 20:04
R. Mantegazza,P. Bernasconi,F. CornelioDistributions in ? .. We are now going to extend the notions introduced in Section 1 to the case when ? . is replaced by an arbitrary finite-dimensional Euclidean space ?..作者: LVAD360 時(shí)間: 2025-3-22 23:41 作者: grovel 時(shí)間: 2025-3-23 03:52 作者: 個(gè)人長(zhǎng)篇演說(shuō) 時(shí)間: 2025-3-23 09:33
https://doi.org/10.1007/978-3-322-83270-2Let (., ρ) be a metric space. Denote by ..(t)≡ { . ∈ . | ρ (., .) ≤δ} a ball of radius δ centered at .. Let .: . → .. be an arbitrary function.作者: Apraxia 時(shí)間: 2025-3-24 03:23
Multi-Dimensional Gaussian Distributions,Distributions in ? .. We are now going to extend the notions introduced in Section 1 to the case when ? . is replaced by an arbitrary finite-dimensional Euclidean space ?..作者: deriver 時(shí)間: 2025-3-24 08:08 作者: brachial-plexus 時(shí)間: 2025-3-24 11:50 作者: evasive 時(shí)間: 2025-3-24 15:55 作者: 售穴 時(shí)間: 2025-3-24 20:22
Infinite-Dimensional Gaussian Distributions,.. For a numerical random variable ξ defined on a probability space (Ω,.,?), the basic probability characteristics: mean, variance, characteristic function, etc., can be easily calculated given the distribution of this random variable, that is a measure P defined on ?. by the formula ..作者: 商議 時(shí)間: 2025-3-25 01:51
The Large Deviations Principle,Let {ξ ., . ∈ .} be a random function whose sample functions are bounded.作者: Tracheotomy 時(shí)間: 2025-3-25 06:19
Exact Asymptotics of Large Deviations,Our consideration so far has been restricted to studying the . asymptotics of large deviations. We now focus on the methods which, in some cases, enable to find the . asymptotics.作者: 不足的東西 時(shí)間: 2025-3-25 08:27
Edward Blair,Kathleen Williamson ξ. If . ? ?., the term ‘.’ (or simply .) is used instead of the term ‘random function’; if . ? ?., . > 1, the expression ‘.’ is used. In these cases, the elements of . are interpreted as the time instants or space points, respectively. If . = ?, a random function ξ is called the ..作者: paleolithic 時(shí)間: 2025-3-25 15:08 作者: 惡名聲 時(shí)間: 2025-3-25 17:19
https://doi.org/10.1007/978-3-031-05789-2the kernel, some linear subspace .. ? .. Although this kernel has usually measure zero, it is very important for studying various properties of the measure. For instance, having shifted . by an arbitrary vector which belongs to .., we obtain a measure which is absolutely continuous with respect to .作者: 享樂(lè)主義者 時(shí)間: 2025-3-25 23:55 作者: 代理人 時(shí)間: 2025-3-26 01:38 作者: 樹上結(jié)蜜糖 時(shí)間: 2025-3-26 06:52 作者: 掃興 時(shí)間: 2025-3-26 11:16 作者: Ostrich 時(shí)間: 2025-3-26 13:20
Autoethnography in Language Educationhave different forms (see Theorems 14.1 and 14.5), and a certain gap may exist between these bounds. In particular, this is a reason of that it is impossible to give necessary and sufficient conditions for the boundedness (or continuity) of a Gaussian random function in terms of the entropy. In the 作者: 運(yùn)氣 時(shí)間: 2025-3-26 17:30 作者: Harass 時(shí)間: 2025-3-26 21:12
Michel Arock,Gilbert Chemla,Jean-Paul Chemlaur subjects in Section 12. We established that this asymptotics had a unified fashion on the logarithmic level, and this fashion did not depend on the form of A and was controlled by constants governed by the action functional.作者: Plaque 時(shí)間: 2025-3-27 02:01
,Schwei?- und Schwei?restspannungen,., ρ), and moreover, one can construct an indicator model for this function. The converse is obviously true: If both a Brownian function . an indicator model for this function exist, then (., ρ) may be isometrically embedded into L.. However, a more natural question is the following: Does the existe作者: 貧困 時(shí)間: 2025-3-27 05:36 作者: 棲息地 時(shí)間: 2025-3-27 09:29
Edward Blair,Kathleen Williamson ξ. If . ? ?., the term ‘.’ (or simply .) is used instead of the term ‘random function’; if . ? ?., . > 1, the expression ‘.’ is used. In these cases, the elements of . are interpreted as the time instants or space points, respectively. If . = ?, a random function ξ is called the ..作者: 職業(yè) 時(shí)間: 2025-3-27 16:10 作者: FLIRT 時(shí)間: 2025-3-27 21:10 作者: 銼屑 時(shí)間: 2025-3-27 23:50
https://doi.org/10.1007/978-94-6091-672-4owever, to a remarkably beautiful result. We shall deal with the typical form of sample functions of a Wiener process which strongly deviate from the (zero) mean. Here, the key part will belong to the isoperimetric inequality and the ellipsoid of concentration, already familiar to the reader.作者: 地牢 時(shí)間: 2025-3-28 02:31 作者: foliage 時(shí)間: 2025-3-28 08:21
Random Functions, ξ. If . ? ?., the term ‘.’ (or simply .) is used instead of the term ‘random function’; if . ? ?., . > 1, the expression ‘.’ is used. In these cases, the elements of . are interpreted as the time instants or space points, respectively. If . = ?, a random function ξ is called the ..作者: 不適 時(shí)間: 2025-3-28 10:55
The Most Important Gaussian Distributions,e shall consider several measures which are the distributions of the most interesting Gaussian random functions. In each particular situation, we shall find the kernel of the corresponding measure and calculate the action functional and the admissibility rates for shifts.作者: 有惡臭 時(shí)間: 2025-3-28 17:14 作者: 指數(shù) 時(shí)間: 2025-3-28 20:08 作者: 縮影 時(shí)間: 2025-3-28 22:59
Small Deviations,ur subjects in Section 12. We established that this asymptotics had a unified fashion on the logarithmic level, and this fashion did not depend on the form of A and was controlled by constants governed by the action functional.作者: interference 時(shí)間: 2025-3-29 04:32 作者: 可觸知 時(shí)間: 2025-3-29 10:17
Examples of Gaussian Random Functions,It was not until the end of the nineteenth century when the chief reason causing such motion has been clarified: a large number of collisions of pollen grains bombarded by molecules of the liquid in their thermal motion. Thus, the phenomenon discovered by Brown has become a visible proof of the “l(fā)if作者: 植物茂盛 時(shí)間: 2025-3-29 13:26 作者: cushion 時(shí)間: 2025-3-29 16:30 作者: ANTE 時(shí)間: 2025-3-29 23:47
Convexity and the Isoperimetric Property, .. In this section, we are going to clarify, in what sense Gaussian distributions are convex. The notion of convexity it related to a remarkable isoperimetric theorem asserting that, among all sets of the same measure, it is the half-space that has the smallest “surface area”. We first consider the作者: 運(yùn)動(dòng)性 時(shí)間: 2025-3-30 00:15
Metric Entropy and the Comparison Principle,rds, . may be covered by the balls of radius ε centered at points of .. Denote by . (., ε) the least possible number of points in an ε-. for the set .. Those ε-. which contain exactly . (., ε) points will be called minimal. The quantity . (., ε) ≡ log . (., ε) is called the . of the space ..作者: chalice 時(shí)間: 2025-3-30 06:52 作者: 和藹 時(shí)間: 2025-3-30 09:01
Majorizing Measures,have different forms (see Theorems 14.1 and 14.5), and a certain gap may exist between these bounds. In particular, this is a reason of that it is impossible to give necessary and sufficient conditions for the boundedness (or continuity) of a Gaussian random function in terms of the entropy. In the 作者: 關(guān)心 時(shí)間: 2025-3-30 15:11 作者: 結(jié)構(gòu) 時(shí)間: 2025-3-30 20:20 作者: Flagging 時(shí)間: 2025-3-30 23:44
Several Open Problems,., ρ), and moreover, one can construct an indicator model for this function. The converse is obviously true: If both a Brownian function . an indicator model for this function exist, then (., ρ) may be isometrically embedded into L.. However, a more natural question is the following: Does the existe作者: acetylcholine 時(shí)間: 2025-3-31 01:58
Book 1995t all conceivable nice properties that a distribution may ever have: symmetry, stability, indecomposability, a regular tail behavior, etc. Gaussian measures (the distributions of Gaussian random functions), as infinite-dimensional analogues of tht< classical normal distribution, go to work as such e作者: EVICT 時(shí)間: 2025-3-31 06:36 作者: 證明無(wú)罪 時(shí)間: 2025-3-31 11:56 作者: LIEN 時(shí)間: 2025-3-31 13:38 作者: 朋黨派系 時(shí)間: 2025-3-31 18:36 作者: PHON 時(shí)間: 2025-4-1 01:43
https://doi.org/10.1007/978-3-030-05099-3efined on an . parametric set, we shall interpret the regularity as boundedness of the sample functions, or the continuity of sample functions with respect to the intrinsic semimetric. We shall also mention some special features of the regularity of ., such as boundedness of the variation and differentiability.作者: 熔巖 時(shí)間: 2025-4-1 03:23
https://doi.org/10.1007/978-3-322-91560-3 properties of a standard Gaussian distribution in ?., and then extend the results we obtain to arbitrary Radon Gaussian measures. As a corollary, the estimates of large deviations and a qualitative picture of the distribution of a convex functional will be derived.作者: 魅力 時(shí)間: 2025-4-1 07:28
Autoethnography in Language Educationsearch for such conditions, the notion of majorizing measure emerged. These measures appeared to give a better account of the . of structure of a metric space, whereas the metric entropy attached the same significance both to “filled up” and to “almost empty” balls of equal radii.作者: intertwine 時(shí)間: 2025-4-1 13:34
Convexity and the Isoperimetric Property, properties of a standard Gaussian distribution in ?., and then extend the results we obtain to arbitrary Radon Gaussian measures. As a corollary, the estimates of large deviations and a qualitative picture of the distribution of a convex functional will be derived.作者: Herpetologist 時(shí)間: 2025-4-1 17:54
Majorizing Measures,search for such conditions, the notion of majorizing measure emerged. These measures appeared to give a better account of the . of structure of a metric space, whereas the metric entropy attached the same significance both to “filled up” and to “almost empty” balls of equal radii.作者: 男學(xué)院 時(shí)間: 2025-4-1 18:30 作者: 昆蟲 時(shí)間: 2025-4-1 23:24
Examples of Gaussian Random Functions,ess has become a subject of numerous investigations and generalizations (see Comments). In due course, this process has come to be commonly called the ‘Wiener process,’ although the old term ‘Brownian motion’ is still often used.作者: Ascribe 時(shí)間: 2025-4-2 06:11
Tobias Kollmann,Christoph St?ckmannore detailed evaluation of the similarities and of the differences in the approaches implemented in the studies of the three types of systems. The papers contai978-1-4613-6702-4978-1-4615-3816-5Series ISSN 0258-1221 作者: anthesis 時(shí)間: 2025-4-2 09:46 作者: Melanoma 時(shí)間: 2025-4-2 15:12
Jean-Baptiste Fouvry ICIRA 2019, held in Shenyang, China, in August 2019. ..The total of 378 full and 25 short papers presented in these proceedings was carefully reviewed and selected from 522 submissions. The papers are organized in topical sections as follows:.Part I:. collective and social robots; human biomechanic作者: 笨重 時(shí)間: 2025-4-2 17:52
