標(biāo)題: Titlebook: Convexity and Concentration; Eric Carlen,Mokshay Madiman,Elisabeth M. Werner Conference proceedings 2017 Springer Science+Business Media L [打印本頁(yè)] 作者: 側(cè)面上下 時(shí)間: 2025-3-21 16:11
書(shū)目名稱Convexity and Concentration影響因子(影響力)
書(shū)目名稱Convexity and Concentration影響因子(影響力)學(xué)科排名
書(shū)目名稱Convexity and Concentration網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Convexity and Concentration網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Convexity and Concentration被引頻次
書(shū)目名稱Convexity and Concentration被引頻次學(xué)科排名
書(shū)目名稱Convexity and Concentration年度引用
書(shū)目名稱Convexity and Concentration年度引用學(xué)科排名
書(shū)目名稱Convexity and Concentration讀者反饋
書(shū)目名稱Convexity and Concentration讀者反饋學(xué)科排名
作者: Forehead-Lift 時(shí)間: 2025-3-21 23:44
Seismic Microzonation of Site Effectssts. By giving few examples, we emphasize optimal weak transport costs as an efficient tool to establish new transport inequality and new concentration principles for discrete measures (the binomial law, the Poisson measure, the uniform law on the symmetric group).作者: CLAMP 時(shí)間: 2025-3-22 01:00 作者: angiography 時(shí)間: 2025-3-22 08:18
An Application of a Functional Inequality to Quasi-Invariance in Infinite Dimensions proof of the classical Cameron-Martin (Girsanov) theorem for an abstract Wiener space. In addition, we revisit several more geometric examples, even though the main abstract result concerns quasi-invariance of a measure under a group action on a measure space.作者: 你正派 時(shí)間: 2025-3-22 11:45
Randomized Isoperimetric Inequalities. By laws of large numbers, these randomized versions recover the classical inequalities. We give an overview of when such stochastic dominance arises and its applications in convex geometry and probability.作者: 小卷發(fā) 時(shí)間: 2025-3-22 13:14
Conference proceedings 2017ntains those contributions that focus primarily on problems motivated by convex geometry and geometric analysis...This book will be of use to those who research convex geometry, geometric analysis and probability directly or apply such methods in other fields..作者: 小卷發(fā) 時(shí)間: 2025-3-22 21:05
Conference proceedings 2017 the Institute of Mathematics and its Applications during the Spring 2015 where geometric analysis, convex geometry and concentration phenomena were the focus...Leading experts have written surveys of research problems, making state of the art results more conveniently and widely available. The volu作者: 騎師 時(shí)間: 2025-3-22 23:46 作者: 倔強(qiáng)一點(diǎn) 時(shí)間: 2025-3-23 01:55 作者: Licentious 時(shí)間: 2025-3-23 06:50 作者: 完成才會(huì)征服 時(shí)間: 2025-3-23 09:54
,Zellul?re Marker der Schizophrenie,. By laws of large numbers, these randomized versions recover the classical inequalities. We give an overview of when such stochastic dominance arises and its applications in convex geometry and probability.作者: notification 時(shí)間: 2025-3-23 14:07
A. Zaicenco,D. Lungu,V. Alkaz,T. Corneaom matrices is to understand how the given structure of the matrix is reflected in its spectral properties. This chapter reviews a number of recent results, methods, and open problems in this direction, with a particular emphasis on sharp spectral norm inequalities for Gaussian random matrices.作者: 仔細(xì)檢查 時(shí)間: 2025-3-23 18:15 作者: PUT 時(shí)間: 2025-3-23 23:03 作者: 反省 時(shí)間: 2025-3-24 06:24 作者: Discrete 時(shí)間: 2025-3-24 10:12
Convexity and Concentration978-1-4939-7005-6Series ISSN 0940-6573 Series E-ISSN 2198-3224 作者: 靦腆 時(shí)間: 2025-3-24 12:02
Does Election Matter in a Hybrid Regime?,detailed proofs and constructions in the particular case of an interpolation between two finitely supported probability measures on ., with a stochastic domination assumption. We also present other types of interpolations, in particular Léonard’s entropic interpolations and discuss the relationships between these constructions.作者: Comedienne 時(shí)間: 2025-3-24 15:16
Does Election Matter in a Hybrid Regime?,their counterparts in the continuous case. The results we consider are information theoretic approaches to Poisson approximation, the maximum entropy property of the Poisson distribution, discrete concentration (Poincaré and logarithmic Sobolev) inequalities, monotonicity of entropy and concavity of entropy in the Shepp–Olkin regime.作者: Munificent 時(shí)間: 2025-3-24 19:41
The Figuring of an Aspherical X-Ray Lens particular, our approach illustrates the connections between moment estimates for non-linear functionals of Gaussian fields, and the general semigroup approach towards fourth moment theorems, recently initiated by Ledoux and further investigated by Poly et?al.作者: 使厭惡 時(shí)間: 2025-3-25 00:37
Vulnerable People and Digital Inclusionog-concave functions; duality; inequalities including the Prékopa-Leindler inequality and the functional form of Blaschke-Santaló inequality and its converse; functional versions of area measure and mixed volumes; valuations on log-concave functions.作者: 啪心兒跳動(dòng) 時(shí)間: 2025-3-25 03:42
https://doi.org/10.1007/978-1-4939-7005-6Convex Geometry; Geometric Analysis; Probability; Random Matrices; Concentration; Entropy; Concave Functio作者: 修正案 時(shí)間: 2025-3-25 08:19 作者: gregarious 時(shí)間: 2025-3-25 14:21 作者: 許可 時(shí)間: 2025-3-25 19:20
The IMA Volumes in Mathematics and its Applicationshttp://image.papertrans.cn/c/image/237857.jpg作者: 先行 時(shí)間: 2025-3-25 22:29 作者: Diaphragm 時(shí)間: 2025-3-26 01:31 作者: 演繹 時(shí)間: 2025-3-26 07:43
https://doi.org/10.1007/978-3-642-65058-1A Radon measure . on a locally convex linear space . is called . (. in short) if for any compact nonempty sets .,?.???. and .?∈?[0,?1], .(. + (1 ?.).)?≥?.(.)..(.).. A random vector with values in . is called . if its distribution is logarithmically concave.作者: 綠州 時(shí)間: 2025-3-26 09:46 作者: AVERT 時(shí)間: 2025-3-26 14:07 作者: 原諒 時(shí)間: 2025-3-26 16:56 作者: 擴(kuò)張 時(shí)間: 2025-3-26 21:21
Interpolation of Probability Measures on Graphsdetailed proofs and constructions in the particular case of an interpolation between two finitely supported probability measures on ., with a stochastic domination assumption. We also present other types of interpolations, in particular Léonard’s entropic interpolations and discuss the relationships between these constructions.作者: 規(guī)章 時(shí)間: 2025-3-27 03:35
Entropy and Thinning of Discrete Random Variablestheir counterparts in the continuous case. The results we consider are information theoretic approaches to Poisson approximation, the maximum entropy property of the Poisson distribution, discrete concentration (Poincaré and logarithmic Sobolev) inequalities, monotonicity of entropy and concavity of entropy in the Shepp–Olkin regime.作者: 我沒(méi)有命令 時(shí)間: 2025-3-27 05:50 作者: 絕緣 時(shí)間: 2025-3-27 12:57
Log-Concave Functionsog-concave functions; duality; inequalities including the Prékopa-Leindler inequality and the functional form of Blaschke-Santaló inequality and its converse; functional versions of area measure and mixed volumes; valuations on log-concave functions.作者: Obstreperous 時(shí)間: 2025-3-27 14:19
Does Election Matter in a Hybrid Regime?,detailed proofs and constructions in the particular case of an interpolation between two finitely supported probability measures on ., with a stochastic domination assumption. We also present other types of interpolations, in particular Léonard’s entropic interpolations and discuss the relationships作者: 領(lǐng)導(dǎo)權(quán) 時(shí)間: 2025-3-27 18:23
Does Election Matter in a Hybrid Regime?,their counterparts in the continuous case. The results we consider are information theoretic approaches to Poisson approximation, the maximum entropy property of the Poisson distribution, discrete concentration (Poincaré and logarithmic Sobolev) inequalities, monotonicity of entropy and concavity of作者: Externalize 時(shí)間: 2025-3-28 01:08 作者: 縮減了 時(shí)間: 2025-3-28 05:52 作者: IRATE 時(shí)間: 2025-3-28 09:36
Janneke van Mens-Verhulst,Greta Noordenbosn for many models, and there has been significant recent progress in obtaining more quantitative, non-asymptotic results. In this paper, we describe a systematic approach to bounding rates of convergence and proving tail inequalities for the empirical spectral measures of a wide variety of random ma作者: averse 時(shí)間: 2025-3-28 10:51
D. R. Beaman,R. Lewis,J. A. Isasio any of its individual arguments will tend to take values very close to its expectation. This phenomenon is most completely understood when the arguments are mutually independent random variables, and there exist several powerful complementary methods for proving concentration inequalities, such as作者: Militia 時(shí)間: 2025-3-28 16:43
Present State of X-Ray Interferometryverse) results in information theory and many other disciplines. Various channel-dependent improvements (called strong data-processing inequalities, or SDPIs) of this inequality have been proposed both classically and more recently. In this note we first survey known results relating various notions作者: 制定法律 時(shí)間: 2025-3-28 21:05
Present State of X-Ray Interferometrysettings lack a reference measure such as the Lebesgue or Haar measure, and therefore we cannot use smoothness of a density with respect to such a measure. We describe how a functional inequality can be used to prove quasi-invariance results in several settings. In particular, this gives a different作者: subacute 時(shí)間: 2025-3-29 01:45
The Figuring of an Aspherical X-Ray Lens particular, our approach illustrates the connections between moment estimates for non-linear functionals of Gaussian fields, and the general semigroup approach towards fourth moment theorems, recently initiated by Ledoux and further investigated by Poly et?al.作者: Graduated 時(shí)間: 2025-3-29 06:15
https://doi.org/10.1007/978-3-7091-9414-0s which were not previously considered in convex geometry. We illustrate this philosophy by describing a recent result of Molchanov, who constructed continued fractions of convex bodies..Our main construction is the geometric mean of two convex bodies. We define it using the above ideology, and disc作者: 貴族 時(shí)間: 2025-3-29 10:21 作者: BALK 時(shí)間: 2025-3-29 14:29 作者: 發(fā)芽 時(shí)間: 2025-3-29 15:54
Vulnerable People and Digital Inclusionog-concave functions; duality; inequalities including the Prékopa-Leindler inequality and the functional form of Blaschke-Santaló inequality and its converse; functional versions of area measure and mixed volumes; valuations on log-concave functions.作者: 草本植物 時(shí)間: 2025-3-29 23:20
https://doi.org/10.1007/978-3-319-61621-6pplications. Functional versions of the Blaschke Santaló inequality have been established over the years through many contributions. More recently and ongoing, such functional versions have been established for the .. affine isoperimetric inequalities as well. These functional versions involve notio作者: insurgent 時(shí)間: 2025-3-30 01:56
Interpolation of Probability Measures on Graphsdetailed proofs and constructions in the particular case of an interpolation between two finitely supported probability measures on ., with a stochastic domination assumption. We also present other types of interpolations, in particular Léonard’s entropic interpolations and discuss the relationships作者: 清洗 時(shí)間: 2025-3-30 06:15
Entropy and Thinning of Discrete Random Variablestheir counterparts in the continuous case. The results we consider are information theoretic approaches to Poisson approximation, the maximum entropy property of the Poisson distribution, discrete concentration (Poincaré and logarithmic Sobolev) inequalities, monotonicity of entropy and concavity of作者: Spirometry 時(shí)間: 2025-3-30 09:35
Concentration of Measure Principle and Entropy-Inequalitiesiew of the links between concentration properties, transport-entropy inequalities, and logarithmic Sobolev inequalities for some specific transport costs. By giving few examples, we emphasize optimal weak transport costs as an efficient tool to establish new transport inequality and new concentratio作者: NIP 時(shí)間: 2025-3-30 14:40
Structured Random Matrices. Much of the literature in this area is concerned with matrices that possess many exact or approximate symmetries, such as matrices with i.i.d. entries, for which precise analytic results and limit theorems are available. Much less well understood are matrices that are endowed with an arbitrary str作者: 新義 時(shí)間: 2025-3-30 18:11
Rates of Convergence for Empirical Spectral Measures: A Soft Approachn for many models, and there has been significant recent progress in obtaining more quantitative, non-asymptotic results. In this paper, we describe a systematic approach to bounding rates of convergence and proving tail inequalities for the empirical spectral measures of a wide variety of random ma作者: 小故事 時(shí)間: 2025-3-30 22:25
Concentration of Measure Without Independence: A Unified Approach Via the Martingale Methodo any of its individual arguments will tend to take values very close to its expectation. This phenomenon is most completely understood when the arguments are mutually independent random variables, and there exist several powerful complementary methods for proving concentration inequalities, such as作者: 缺乏 時(shí)間: 2025-3-31 04:29
Strong Data-Processing Inequalities for Channels and Bayesian Networksverse) results in information theory and many other disciplines. Various channel-dependent improvements (called strong data-processing inequalities, or SDPIs) of this inequality have been proposed both classically and more recently. In this note we first survey known results relating various notions作者: Sigmoidoscopy 時(shí)間: 2025-3-31 06:57 作者: Cacophonous 時(shí)間: 2025-3-31 09:33 作者: 出生 時(shí)間: 2025-3-31 13:25
Non-standard Constructions in Convex Geometry: Geometric Means of Convex Bodiess which were not previously considered in convex geometry. We illustrate this philosophy by describing a recent result of Molchanov, who constructed continued fractions of convex bodies..Our main construction is the geometric mean of two convex bodies. We define it using the above ideology, and disc作者: 為敵 時(shí)間: 2025-3-31 17:56
Randomized Isoperimetric Inequalitiesaló, Busemann-Petty and their various extensions. We show that many such inequalities admit stronger randomized forms in the following sense: for natural families of associated random convex sets one has stochastic dominance for various functionals such as volume, surface area, mean width and others作者: BAIL 時(shí)間: 2025-4-1 00:40
Forward and Reverse Entropy Power Inequalities in Convex Geometryinequality. Motivated by this connection to Convex Geometry, we survey various recent developments on forward and reverse entropy power inequalities not just for the Shannon-Boltzmann entropy but also more generally for Rényi entropy. In the process, we discuss connections between the so-called func作者: reserve 時(shí)間: 2025-4-1 05:52
