標題: Titlebook: Handbook of Computational Statistics; Concepts and Methods James E. Gentle,Wolfgang Karl H?rdle,Yuichi Mori Book 2012Latest edition Springe [打印本頁] 作者: 極大 時間: 2025-3-21 17:27
書目名稱Handbook of Computational Statistics影響因子(影響力)
書目名稱Handbook of Computational Statistics影響因子(影響力)學(xué)科排名
書目名稱Handbook of Computational Statistics網(wǎng)絡(luò)公開度
書目名稱Handbook of Computational Statistics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Handbook of Computational Statistics被引頻次
書目名稱Handbook of Computational Statistics被引頻次學(xué)科排名
書目名稱Handbook of Computational Statistics年度引用
書目名稱Handbook of Computational Statistics年度引用學(xué)科排名
書目名稱Handbook of Computational Statistics讀者反饋
書目名稱Handbook of Computational Statistics讀者反饋學(xué)科排名
作者: 割讓 時間: 2025-3-21 22:20 作者: hauteur 時間: 2025-3-22 01:55
https://doi.org/10.1007/978-1-4613-1749-496). MCMC methods have proved useful in practically all aspects of Bayesian inference, for example, in the context of prediction problems and in the computation of quantities, such as the marginal likelihood, that are used for comparing competing Bayesian models.作者: 尊嚴 時間: 2025-3-22 05:08 作者: insular 時間: 2025-3-22 10:41
Markov Chain Monte Carlo Technology96). MCMC methods have proved useful in practically all aspects of Bayesian inference, for example, in the context of prediction problems and in the computation of quantities, such as the marginal likelihood, that are used for comparing competing Bayesian models.作者: Affiliation 時間: 2025-3-22 14:10 作者: 燕麥 時間: 2025-3-22 18:47
https://doi.org/10.1007/978-3-642-21551-3Bioinformatics; Computational Statistics; EM algorithm; Functional MRI; MCMC; Network Intrusion Detection作者: panorama 時間: 2025-3-22 22:12 作者: 敵手 時間: 2025-3-23 04:21 作者: Exclaim 時間: 2025-3-23 09:34
Yoshio Yotsuyanagi,Daniel Sz?ll?siression reduces to solving a system of linear equations, see Chap. III.8. Theprincipal components method is based on finding eigenvalues and eigenvectors of a matrix, see Chap. III.6. Nonlinear optimization methods such as Newton’s method often employ the inversion of a Hessian matrix. In all these cases, we neednumerical linear algebra.作者: 尋找 時間: 2025-3-23 13:21 作者: 發(fā)牢騷 時間: 2025-3-23 14:42
Numerical Linear Algebraression reduces to solving a system of linear equations, see Chap. III.8. Theprincipal components method is based on finding eigenvalues and eigenvectors of a matrix, see Chap. III.6. Nonlinear optimization methods such as Newton’s method often employ the inversion of a Hessian matrix. In all these cases, we neednumerical linear algebra.作者: chondromalacia 時間: 2025-3-23 18:35 作者: 懸崖 時間: 2025-3-24 00:29
978-3-662-51765-9Springer-Verlag Berlin Heidelberg 2012作者: 最初 時間: 2025-3-24 05:12 作者: 豐滿有漂亮 時間: 2025-3-24 09:00 作者: 毗鄰 時間: 2025-3-24 14:15 作者: judiciousness 時間: 2025-3-24 17:35 作者: Dysplasia 時間: 2025-3-24 21:04
How Computational Statistics Became the Backbone of Modern Data ScienceThis first chapter serves as an introduction and overview for a collection of articles surveying the current state of the science of computational statistics. Earlier versions of most of these articles appeared in the first edition of ., published in 2004.作者: 大都市 時間: 2025-3-25 01:13
Statistical User InterfacesA . is an interface between a human user and a statistical software package. Whenever we use a statistical software package we want to solve a specific statistical problem. But very often at first it is necessary to learn specific things about the software package.作者: fatty-acids 時間: 2025-3-25 06:37 作者: d-limonene 時間: 2025-3-25 08:18 作者: 爆炸 時間: 2025-3-25 14:09
Random Number Generation and powerful mathematical theory, but exact implementation of these concepts on conventional computers seems impossible. In practice, random variables and other random objects are . by .. The purpose of these algorithms is to produce sequences of numbers or objects whose behavior is very hard to di作者: Folklore 時間: 2025-3-25 16:48
Markov Chain Monte Carlo Technologyability distribution that is based on Markov chains whose stationary distribution is the probability distribution of interest. This class of methods, popularly referred to asMarkov chain Monte Carlo methods, or simply MCMC methods, have been influential in the modern practice of Bayesian statistics 作者: 稱贊 時間: 2025-3-25 21:47 作者: infatuation 時間: 2025-3-26 02:37
The EM Algorithmriety of incomplete-data problems. The EM algorithm has a number of desirable properties, such as its numerical stability, reliable global convergence, and simplicity of implementation. There are, however, two main drawbacks of the basic EM algorithm – lack of an in-built procedure to compute the co作者: 使迷惑 時間: 2025-3-26 05:39
Stochastic Optimizationtandard approaches for solving challenging optimization problems.This chapter provides a synopsis of some of the critical issues associatedwith stochastic optimization and a gives a summary of several popularalgorithms. Much more complete discussions are available in the indicatedreferences.作者: Occlusion 時間: 2025-3-26 09:51 作者: ticlopidine 時間: 2025-3-26 12:48 作者: 規(guī)范要多 時間: 2025-3-26 20:07 作者: 散開 時間: 2025-3-26 21:25
Discovering and Visualizing Relations in High Dimensional Datay can not only cut great swaths searching through this combinatorial explosion but also extract insights from the visual patterns. These are the core reasons for data visualization. With Parallel Coordinates (abbr.-cs) the search for multivariate relations in high dimensional datasets is transformed作者: NOVA 時間: 2025-3-27 03:09
Interactive and Dynamic Graphicsips in complex data. Interactive and dynamic statistical graphics involve methods for viewing data in the form of point clouds or modeled surfaces. Higher-dimensional data can be projected into one-, two- or three-dimensional planes in a set of multiple views or as a continuous sequence of views whi作者: GENRE 時間: 2025-3-27 06:58 作者: LIMN 時間: 2025-3-27 11:25
Model Selectionnear, non-linear and generalized linear) models with multiple independent variables, one needs to decide which variables to include in the model (Chaps. III.7, III.8 and III.12); for fitting non-parametric regression (spline, kernel, local polynomial) models, one needs to decide the amount of smooth作者: 是他笨 時間: 2025-3-27 16:45 作者: 高興去去 時間: 2025-3-27 19:59 作者: Infect 時間: 2025-3-28 00:49 作者: 聯(lián)邦 時間: 2025-3-28 03:43
Yoshio Yotsuyanagi,Daniel Sz?ll?siression reduces to solving a system of linear equations, see Chap. III.8. Theprincipal components method is based on finding eigenvalues and eigenvectors of a matrix, see Chap. III.6. Nonlinear optimization methods such as Newton’s method often employ the inversion of a Hessian matrix. In all these 作者: Albinism 時間: 2025-3-28 08:01
Ernst B. Hunziker,Wolfgang Herrmannriety of incomplete-data problems. The EM algorithm has a number of desirable properties, such as its numerical stability, reliable global convergence, and simplicity of implementation. There are, however, two main drawbacks of the basic EM algorithm – lack of an in-built procedure to compute the co作者: Arthritis 時間: 2025-3-28 13:04 作者: Indict 時間: 2025-3-28 14:45 作者: CHOIR 時間: 2025-3-28 19:16
Francesco Amenta,Carlo Cavallottieloped a new estimation method for the parameters of a complicated statistical model. After you prove the asymptotic characteristics of the method (for instance, asymptotic distribution of the estimator), you wish to perform many simulations to assure the goodness of the method for reasonable number作者: 認為 時間: 2025-3-28 23:07
Fiorenza Bonvicini,Renzo Laschiier (case_id), columns corresponding to attributes (variables), and numerical data types for the elements of each data matrix due to a universal numeric coding of all attributes. Each row (tuple) carries the (coded) values of the attributes, besides the case_id. Due to an encoding that maps even a s作者: 帶傷害 時間: 2025-3-29 06:35
Human Bulbourethral and Urethral Glands,y can not only cut great swaths searching through this combinatorial explosion but also extract insights from the visual patterns. These are the core reasons for data visualization. With Parallel Coordinates (abbr.-cs) the search for multivariate relations in high dimensional datasets is transformed作者: MOT 時間: 2025-3-29 07:41 作者: gerrymander 時間: 2025-3-29 15:24
Margot Shiner FRCP, FRCPath, DCH general system and that every combination of aspects in the product of all these sets is meaningful. This sense of the word orthogonality, a term used by computer designers to describe a combinatoric system of components or building blocks, is in some sense similar to the orthogonal factorial analy作者: Pedagogy 時間: 2025-3-29 17:39
https://doi.org/10.1007/b138706near, non-linear and generalized linear) models with multiple independent variables, one needs to decide which variables to include in the model (Chaps. III.7, III.8 and III.12); for fitting non-parametric regression (spline, kernel, local polynomial) models, one needs to decide the amount of smooth作者: Insatiable 時間: 2025-3-29 21:07
,Ultrastructure of Rathke’s pituitary cleft,ors behave as expected, whereas for gambling machines and cryptology, observing the sequence of output values for some time should provide no practical advantage for predicting the forthcoming numbers better than by just guessing at random.作者: ALLEY 時間: 2025-3-30 03:18
Ernst B. Hunziker,Wolfgang Herrmannextensions of the EM algorithm to handle complex problems. The second edition attempts to capture advanced developments in EM methodology in recent years, especially in its applications to the related fields of biomedical and health sciences.作者: Ornithologist 時間: 2025-3-30 05:57
Random Number Generationors behave as expected, whereas for gambling machines and cryptology, observing the sequence of output values for some time should provide no practical advantage for predicting the forthcoming numbers better than by just guessing at random.作者: PUT 時間: 2025-3-30 11:04 作者: 傳染 時間: 2025-3-30 16:13 作者: ANT 時間: 2025-3-30 20:25
Defective Phages and Bacteriocins,. To work on difficult problems with confidence and explore the frontiers of statistical methods and software, we need to have a sound understanding of the foundations of computer arithmetic. We need to know how arithmetic works and why things are designed the way they are.作者: Permanent 時間: 2025-3-30 23:11
Margot Shiner FRCP, FRCPath, DCHsis of variance (ANOVA), where factors have levels and all possible combinations of levels exist in the ANOVA design. If we interpret each combination of features in a GOG system as a point in a network, then the world described by GOG is represented in a seven-dimensional rectangular lattice.作者: 地牢 時間: 2025-3-31 01:59
https://doi.org/10.1007/b138706ing (Chaps.III.5 andIII.10); for unsupervised learning, one needs to decide the number of clusters (Chaps. III.13 andIII.16); and for tree-based regression and classification, one needs to decide the size of a tree (Chap.III.14).作者: 連累 時間: 2025-3-31 08:26 作者: vertebrate 時間: 2025-3-31 12:54 作者: 橡子 時間: 2025-3-31 15:37 作者: LAITY 時間: 2025-3-31 20:11
2197-9790 eginning and have all given substantial imput to its developThe Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new c作者: overwrought 時間: 2025-3-31 22:20 作者: 顯微鏡 時間: 2025-4-1 02:25
