標(biāo)題: Titlebook: Concentration of Maxima and Fundamental Limits in High-Dimensional Testing and Inference; Zheng Gao,Stilian Stoev Book 2021 The Author(s), [打印本頁] 作者: 凝固 時間: 2025-3-21 16:05
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書目名稱Concentration of Maxima and Fundamental Limits in High-Dimensional Testing and Inference影響因子(影響力)學(xué)科排名
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書目名稱Concentration of Maxima and Fundamental Limits in High-Dimensional Testing and Inference網(wǎng)絡(luò)公開度學(xué)科排名
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書目名稱Concentration of Maxima and Fundamental Limits in High-Dimensional Testing and Inference讀者反饋學(xué)科排名
作者: 爆米花 時間: 2025-3-22 00:16
Risks, Procedures, and Error Models,ional setting. First, a general notion of statistical risk is formulated and used to provide a unified treatment of a variety of signal detection and support estimation problems considered in the literature. The relationship between various choices of risk functionals and their implications on the a作者: 寬宏大量 時間: 2025-3-22 03:54 作者: 侵略主義 時間: 2025-3-22 05:11 作者: surrogate 時間: 2025-3-22 12:27
Bayes and Minimax Optimality, likelihood ratio thresholding procedures are always Bayes optimal. Consequently, the Oracle threshold estimation procedures are optimal for the class of log-concave error models and, otherwise, they are typically sub-optimal. These results lead to a slew of asymptotic minimax characterizations of t作者: 殺子女者 時間: 2025-3-22 13:20
Uniform Relative Stability for Gaussian Arrays, arrays known as the uniform relative stability (URS) property. This property holds for a wide range of models. The purpose of this chapter is to provide a complete characterization of URS for Gaussian triangular arrays. The main result shows that the Gaussian arrays are URS if and only if they are 作者: 殺子女者 時間: 2025-3-22 18:12
,Fundamental Statistical Limits in?Genome-Wide Association Studies,WAS) aim to discover the set of gene variants associated with a disease. In the simple case of marginal association studies, one typically considers 2-by-2 contingency tables and computes non-central chi-square-type statistics (one for each genetic location), where the non-centrality parameter plays作者: heterodox 時間: 2025-3-22 22:56
Time-Varying Discrete Linear Systems.?2 yields a variety of phase-transition results, many of which are new. The optimality and sub-optimality of some popular support estimation procedures are also established. The chapter provides a concise and yet complete account of the phase transitions in the context of sparse signal detection and support estimation in high dimensions.作者: 遺傳 時間: 2025-3-23 04:35 作者: elucidate 時間: 2025-3-23 06:43 作者: 寄生蟲 時間: 2025-3-23 13:44
Uniform Relative Stability for Gaussian Arrays,c results of Simeon Berman are recovered and extended. The proofs utilize tools such as Slepian’s lemma, the Sudakov–Fernique inequality, as well as, a curious result on the structure of correlation matrices derived using elementary Ramsey’s theory.作者: 怒目而視 時間: 2025-3-23 15:37 作者: 品牌 時間: 2025-3-23 18:32
2365-4333 imation for sparse signals observed with noise.Gives an appl.This book provides a unified exposition of some fundamental theoretical problems in high-dimensional statistics. It specifically?considers the canonical problems of detection and support estimation for sparse signals observed with noise. N作者: Infusion 時間: 2025-3-23 22:16 作者: 加強防衛(wèi) 時間: 2025-3-24 04:22 作者: 熱心 時間: 2025-3-24 09:50
2365-4333 ction to a concentration of maxima probabilistic phenomenon, the authors obtain a complete characterization of the exact support recovery problem for thresholding estimators under dependent errors.?.978-3-030-80963-8978-3-030-80964-5Series ISSN 2365-4333 Series E-ISSN 2365-4341 作者: 解決 時間: 2025-3-24 13:32 作者: Ankylo- 時間: 2025-3-24 18:06 作者: 間接 時間: 2025-3-24 22:52
SpringerBriefs in Probability and Mathematical Statisticshttp://image.papertrans.cn/c/image/234858.jpg作者: aspect 時間: 2025-3-25 01:46
J. A. Ball,I. Gohberg,M. A. Kaashoeksignal support estimation problems. This is done in the context of two general models—the signal-plus-noise model and the chi-square model arising in genome-wide association studies. Motivating applications of these two problems and two models are briefly discussed. The chapter concludes with a summ作者: Apraxia 時間: 2025-3-25 03:31
Time-Varying Discrete Linear Systemsional setting. First, a general notion of statistical risk is formulated and used to provide a unified treatment of a variety of signal detection and support estimation problems considered in the literature. The relationship between various choices of risk functionals and their implications on the a作者: Sleep-Paralysis 時間: 2025-3-25 09:51
Time-Varying Discrete Linear Systemsroblems for sparse signals. In order to emphasize ideas, the focus is on the simple case of a high-dimensional sparse signal observed with additive independent Gaussian errors. The classic phase-transition result for the signal detection problem obtained first by Yuri Izmailovich Ingster as well as 作者: Morbid 時間: 2025-3-25 13:59 作者: 酷熱 時間: 2025-3-25 19:36
https://doi.org/10.1007/978-3-030-70944-0 likelihood ratio thresholding procedures are always Bayes optimal. Consequently, the Oracle threshold estimation procedures are optimal for the class of log-concave error models and, otherwise, they are typically sub-optimal. These results lead to a slew of asymptotic minimax characterizations of t作者: confederacy 時間: 2025-3-25 21:18 作者: NOVA 時間: 2025-3-26 03:30
Time-Varying Maximum Capacity Path Problems,WAS) aim to discover the set of gene variants associated with a disease. In the simple case of marginal association studies, one typically considers 2-by-2 contingency tables and computes non-central chi-square-type statistics (one for each genetic location), where the non-centrality parameter plays作者: 仔細閱讀 時間: 2025-3-26 06:38
Concentration of Maxima and Fundamental Limits in High-Dimensional Testing and Inference978-3-030-80964-5Series ISSN 2365-4333 Series E-ISSN 2365-4341 作者: 非秘密 時間: 2025-3-26 09:00 作者: 充滿人 時間: 2025-3-26 14:45
https://doi.org/10.1007/978-3-030-80964-5High-dimensional statistics; Concentration of maxima; Testing problems; Support recovery problems; Stati作者: Agronomy 時間: 2025-3-26 18:38 作者: FOLD 時間: 2025-3-26 22:34
Introduction and Guiding Examples,signal support estimation problems. This is done in the context of two general models—the signal-plus-noise model and the chi-square model arising in genome-wide association studies. Motivating applications of these two problems and two models are briefly discussed. The chapter concludes with a summary of the contents of the manuscript.作者: LOPE 時間: 2025-3-27 03:47 作者: 不愛防注射 時間: 2025-3-27 06:56
Further Applications and Future Directions,classification boundary function, all thresholding estimators fail to recover the support with probability converging to one. This is so provided that the error array is uniformly relatively stable—a type of concentration of maxima condition. The URS condition is optimal and characterized further in作者: Allowance 時間: 2025-3-27 12:12
Time-Varying Maximum Capacity Path Problems,ionship between signal size and power, the chapter develops canonical parameterizations in terms of the marginal frequencies, odds ratio, and sample sizes. This leads to a simplified characterization of the power in GWAS and to further insights into optimal study design. These results are accompanie作者: 壯觀的游行 時間: 2025-3-27 15:12
Concentration of Maxima and Fundamental Limits in High-Dimensional Testing and Inference作者: 善辯 時間: 2025-3-27 19:17
Risks, Procedures, and Error Models,neral class of thresholding procedures. The latter is at the center of the investigation in the subsequent chapters. The existing literature is discussed in the context of the defined statistical risks and procedures. The chapter concludes with some probabilistic background. Introduced is the class 作者: 裂隙 時間: 2025-3-27 22:32 作者: 創(chuàng)作 時間: 2025-3-28 03:18 作者: Pathogen 時間: 2025-3-28 06:37 作者: crucial 時間: 2025-3-28 10:30
Musikalische Einleitungia von C. Monteverdi, Intrada von H. L. Ha?ler, Cantzon ?Auf den Sch?ffertanz“ von E. Widmann und Cantzon XVI — dreich?rig von G. Gabrieli. Zum Totengedenken Choralcanzone ?Herzlich lieb hab ich Dich o Herr“ von H. L. Ha?ler und zum Ausklang Suite aus Newe auserlesene liebliche Branden, Intraden von
