標題: Titlebook: Big and Complex Data Analysis; Methodologies and Ap S. Ejaz Ahmed Book 2017 Springer International Publishing AG 2017 big data analysis.com [打印本頁] 作者: Diverticulum 時間: 2025-3-21 18:52
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作者: Ejaculate 時間: 2025-3-21 22:44 作者: HUMID 時間: 2025-3-22 00:54 作者: 使閉塞 時間: 2025-3-22 07:29 作者: Classify 時間: 2025-3-22 11:47
Bias-Reduced Moment Estimators of Population Spectral Distribution and Their Applicationsich are then adopted to test the order of PSDs. The simulation study demonstrates the desirable performance of the order test in conjunction with the proposed moment estimators for the PSD of large covariance matrices.作者: Abrupt 時間: 2025-3-22 15:43
Two-Point Boundary Value Problems,ariables into different categories, and the regularization methods can be applied afterwards. The technical conditions of model selection consistency for this broad framework relax those for the one-step regularization methods. Extensive simulations show the competitive performance of the new method.作者: 否認 時間: 2025-3-22 19:17 作者: 鋸齒狀 時間: 2025-3-23 00:41
Defining Information Management Requirementsny existing methods fail because of lack of computational power. The finite-sample properties and the utility of the proposed method are examined through an extensive simulation study and an analysis of the national kidney transplant data.作者: 極少 時間: 2025-3-23 04:20 作者: Intrepid 時間: 2025-3-23 09:08
Regularization After Marginal Learning for Ultra-High Dimensional Regression Modelsariables into different categories, and the regularization methods can be applied afterwards. The technical conditions of model selection consistency for this broad framework relax those for the one-step regularization methods. Extensive simulations show the competitive performance of the new method.作者: Overdose 時間: 2025-3-23 10:18 作者: 不愿 時間: 2025-3-23 16:45
A Computationally Efficient Approach for Modeling Complex and Big Survival Datany existing methods fail because of lack of computational power. The finite-sample properties and the utility of the proposed method are examined through an extensive simulation study and an analysis of the national kidney transplant data.作者: arbovirus 時間: 2025-3-23 21:35
Tests of Concentration for Low-Dimensional and High-Dimensional Directional Datations only, as well as “pseudo-FvML” versions of such tests, that meet asymptotically the nominal level constraint within the whole class of rotationally symmetric distributions. We conduct a Monte-Carlo study to check our asymptotic results and to investigate the finite-sample behavior of the proposed tests.作者: 不能仁慈 時間: 2025-3-24 00:18
Analysis of Correlated Data with Error-Prone Response Under Generalized Linear Mixed Modelsignored, and evaluate the performance of an intuitively appealing approach for correction of response error effects. We develop likelihood methods to correct for effects induced from response error. Simulation studies are conducted to evaluate the performance of the proposed methods, and a real data set is analyzed with the proposed methods.作者: 調(diào)情 時間: 2025-3-24 03:22
Statistical Process Control Charts as a Tool for Analyzing Big Dataoduce some basic SPC charts and some of their modifications, and describe how these charts can be used for monitoring different types of processes. Among many potential applications, dynamic disease screening and profile/image monitoring will be discussed in some detail.作者: 假裝是你 時間: 2025-3-24 07:32 作者: incisive 時間: 2025-3-24 11:14
Nonparametric Testing for Heterogeneous Correlationhe number of parameters used in the test grows with .. An analysis of wine quality illustrates how the methods detect heterogeneity of association between chemical properties of the wine, which are attributable to a mix of different cultivars.作者: 不適 時間: 2025-3-24 16:35
Optimal Shrinkage Estimation in Heteroscedastic Hierarchical Linear Modelsasymptotically) optimal under mean squared error loss in each model. Simulation study is conducted to compare the performance of the proposed methods with existing shrinkage estimators. We also apply the method to real data and obtain encouraging and interesting results.作者: 戲法 時間: 2025-3-24 21:56
Unsupervised Bump Hunting Using Principal ComponentsRIM) under normality which facilitates the theoretical studies to follow. Using basic geometrical arguments, we then demonstrate how the Principal Components rotation of the predictor space alone can in fact generate improved mode estimators. Simulation results are used to illustrate our findings.作者: Indicative 時間: 2025-3-24 23:25
Introduction to Nursing Informaticsf two selected submodels. Such a pretest and shrinkage strategy is constructed by shrinking an overfitted model estimator in the direction of an underfitted model estimator. The numerical studies indicate that our post-selection pretest and shrinkage strategy improved the prediction performance of selected submodels.作者: Aspirin 時間: 2025-3-25 07:07 作者: Mumble 時間: 2025-3-25 07:43
High Dimensional Data Analysis: Integrating Submodelsf two selected submodels. Such a pretest and shrinkage strategy is constructed by shrinking an overfitted model estimator in the direction of an underfitted model estimator. The numerical studies indicate that our post-selection pretest and shrinkage strategy improved the prediction performance of selected submodels.作者: 精密 時間: 2025-3-25 14:27
High-Dimensional Classification for Brain Decodings perspective, and we incorporate the features into a classifier based on symmetric multinomial logistic regression with elastic net regularization. The approaches are illustrated in an application where the task is to infer, from brain activity measured with magnetoencephalography (MEG), the type of video stimulus shown to a subject.作者: 公共汽車 時間: 2025-3-25 18:15 作者: 遺留之物 時間: 2025-3-25 20:01
Pamela Hussey,Margaret Ann Kennedyoduce some basic SPC charts and some of their modifications, and describe how these charts can be used for monitoring different types of processes. Among many potential applications, dynamic disease screening and profile/image monitoring will be discussed in some detail.作者: 有害 時間: 2025-3-26 00:12 作者: Default 時間: 2025-3-26 06:14
Defining Information Management Requirementshe number of parameters used in the test grows with .. An analysis of wine quality illustrates how the methods detect heterogeneity of association between chemical properties of the wine, which are attributable to a mix of different cultivars.作者: 無畏 時間: 2025-3-26 10:26
https://doi.org/10.1007/978-1-4757-3095-1asymptotically) optimal under mean squared error loss in each model. Simulation study is conducted to compare the performance of the proposed methods with existing shrinkage estimators. We also apply the method to real data and obtain encouraging and interesting results.作者: Pcos971 時間: 2025-3-26 15:08
https://doi.org/10.1007/978-1-4757-3095-1RIM) under normality which facilitates the theoretical studies to follow. Using basic geometrical arguments, we then demonstrate how the Principal Components rotation of the predictor space alone can in fact generate improved mode estimators. Simulation results are used to illustrate our findings.作者: arrhythmic 時間: 2025-3-26 17:18 作者: Coronary 時間: 2025-3-26 21:40 作者: phlegm 時間: 2025-3-27 02:57 作者: languid 時間: 2025-3-27 06:29 作者: entreat 時間: 2025-3-27 13:17 作者: 印第安人 時間: 2025-3-27 13:56
Analysis of Correlated Data with Error-Prone Response Under Generalized Linear Mixed Modelserature, while error in response has received much less attention. In this paper, we consider generalized linear mixed models for clustered data where measurement error is present in response variables. We investigate asymptotic bias induced by nonlinear error in response variables if such error is 作者: 音樂會 時間: 2025-3-27 18:46 作者: 割讓 時間: 2025-3-28 01:33 作者: Control-Group 時間: 2025-3-28 03:59 作者: 痛苦一下 時間: 2025-3-28 09:05 作者: 隨意 時間: 2025-3-28 14:13 作者: 放牧 時間: 2025-3-28 16:01 作者: Original 時間: 2025-3-28 21:32
Nonparametric Testing for Heterogeneous Correlationr a subpopulation. Two different testing procedures are compared. Both are based on the rankings of the values of two variables from a data set with a large number . of observations. The first maintains its level against Gaussian copulas; the second adapts to general alternatives in the sense that t作者: 褪色 時間: 2025-3-29 01:01
Optimal Shrinkage Estimation in Heteroscedastic Hierarchical Linear Modelstion in the presence of linear predictors. We formulate two heteroscedastic hierarchical regression models and study optimal shrinkage estimators in each model. A class of shrinkage estimators, both parametric and semiparametric, based on unbiased risk estimate (URE) is proposed and is shown to be (作者: 裂隙 時間: 2025-3-29 03:05 作者: lactic 時間: 2025-3-29 10:05
High-Dimensional Classification for Brain Decodingctivity. In this setting the cognitive state is typically characterized by an element of a finite set, and the neuroimaging data comprise voluminous amounts of spatiotemporal data measuring some aspect of the neural signal. The associated statistical problem is one of the classifications from high-d作者: 委派 時間: 2025-3-29 11:41 作者: Unsaturated-Fat 時間: 2025-3-29 17:44
Book 2017 high-dimensional data analysis. More concretely, its goals are to: 1) highlight and expand the breadth of existing methods in big data and high-dimensional data analysis and their potential for the advancement of both the mathematical and statistical sciences; 2) identify important directions for f作者: 不安 時間: 2025-3-29 22:38 作者: hypotension 時間: 2025-3-30 00:51 作者: Free-Radical 時間: 2025-3-30 06:05
How Different Are Estimated Genetic Networks of Cancer Subtypes?a simple permutation test for comparing estimated networks. The results provide new insight into properties of estimated networks using different reconstruction methods, as well as differences in estimated networks in different biological conditions.作者: 祖?zhèn)?nbsp; 時間: 2025-3-30 10:38 作者: 瑣事 時間: 2025-3-30 15:28 作者: 緯度 時間: 2025-3-30 20:00
Two-Point Boundary Value Problems,direct application of the regularization methods tends to fail in terms of model selection consistency due to the possible spurious correlations among predictors. Motivated by the ideas of screening (Fan and Lv, J R Stat Soc Ser B Stat Methodol 70:849–911, 2008) and retention (Weng et al, Manuscript作者: 最高峰 時間: 2025-3-30 22:10 作者: 巨碩 時間: 2025-3-31 04:24 作者: MURKY 時間: 2025-3-31 08:02 作者: Diaphragm 時間: 2025-3-31 13:04 作者: 極大的痛苦 時間: 2025-3-31 14:05 作者: PHAG 時間: 2025-3-31 20:15
Pamela Hussey,Margaret Ann Kennedyne common task to collect and analyze big data is to monitor the longitudinal performance/status of the related processes. To this end, statistical process control (SPC) charts could be a useful tool, although conventional SPC charts need to be modified properly in some cases. In this paper, we intr
