標(biāo)題: Titlebook: COMPSTAT 2008; Proceedings in Compu Paula Brito Conference proceedings 2008 Physica-Verlag Heidelberg 2008 ANOVA.Fitting.Graph.Latent varia [打印本頁] 作者: palliative 時(shí)間: 2025-3-21 18:19
書目名稱COMPSTAT 2008影響因子(影響力)
書目名稱COMPSTAT 2008影響因子(影響力)學(xué)科排名
書目名稱COMPSTAT 2008網(wǎng)絡(luò)公開度
書目名稱COMPSTAT 2008網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱COMPSTAT 2008被引頻次
書目名稱COMPSTAT 2008被引頻次學(xué)科排名
書目名稱COMPSTAT 2008年度引用
書目名稱COMPSTAT 2008年度引用學(xué)科排名
書目名稱COMPSTAT 2008讀者反饋
書目名稱COMPSTAT 2008讀者反饋學(xué)科排名
作者: 流動(dòng)性 時(shí)間: 2025-3-21 22:34
Computable Statistical Research and Practicetical research is not really computable, but rather, translatable. This work describes some proposals for exploring novel information technology support to address the translational challenges during transition between stages of statistical practice. These are illustrated in the on-going design of C作者: avarice 時(shí)間: 2025-3-22 00:27 作者: 擔(dān)心 時(shí)間: 2025-3-22 08:32
National Management of International Economynsive approaches for dealing with large datasets and position ourselves for dealing with future directions in high-performance computing..We discuss some of the trade-offs and describe our efforts to realizing this approach. More abstractly, we feel that it is important that our community explore mo作者: 薄荷醇 時(shí)間: 2025-3-22 11:16 作者: elastic 時(shí)間: 2025-3-22 15:42
https://doi.org/10.1007/978-1-349-07129-6lgorithm may be time consuming. In view of this, we investigate in this article the use of generalized inverses and {2}-inverses, in order to propose new test statistics with asymptotic chi-square distributions, avoiding the need to implement Imhof’s algorithm. In a small simulation study, the follo作者: elastic 時(shí)間: 2025-3-22 18:51
The Concept of Fundamental Equilibriumaccount. We apply C-DIVCLUS-T to hydrological areas described by agricultural and environmental variables, in order to take their geographical contiguity into account in the monothetic clustering process.作者: 把手 時(shí)間: 2025-3-23 00:11
The Concept of Fundamental Equilibriumset of data described by histograms. The same results are also presented for data described by continuous density functions (empiric or estimated). An application to real data is performed to illustrate the effects of the new distance using dynamic clustering.作者: 表臉 時(shí)間: 2025-3-23 02:18
National Management of International Economys can be applied to problems where the number of variables is substantially larger than the number of samples. This paper outlines the fundamental concepts and ideas behind the models but focuses on model selection. Inference in RCOX models is facilitated by the R package gRc.作者: 敘述 時(shí)間: 2025-3-23 08:24
Monothetic Divisive Clustering with Geographical Constraintsaccount. We apply C-DIVCLUS-T to hydrological areas described by agricultural and environmental variables, in order to take their geographical contiguity into account in the monothetic clustering process.作者: 浮雕寶石 時(shí)間: 2025-3-23 12:45 作者: 睨視 時(shí)間: 2025-3-23 15:48
Graphical Models for Sparse Data: Graphical Gaussian Models with Vertex and Edge Symmetriess can be applied to problems where the number of variables is substantially larger than the number of samples. This paper outlines the fundamental concepts and ideas behind the models but focuses on model selection. Inference in RCOX models is facilitated by the R package gRc.作者: URN 時(shí)間: 2025-3-23 20:26 作者: 小母馬 時(shí)間: 2025-3-24 00:59
The Concept of Fundamental Equilibriumty models as well and to derive statistical tools by standard methods (such as maximum likelihood). This approach is exemplified for the case of multivariate interval data where we consider minimum volume hypercubes, average intervals, clustering and regression models, also with reference to previous work.作者: 金絲雀 時(shí)間: 2025-3-24 02:37 作者: FAST 時(shí)間: 2025-3-24 10:14
Fundamental, or Structural, Disequilibriats. Rizopoulos and Moustaki (2007) extended the generalized latent variable model framework to allow for non-linear terms (interactions and higher order terms). Both models are estimated with full information maximum likelihood. Computational aspects, goodness-of-fit statistics and an application are presented.作者: BROW 時(shí)間: 2025-3-24 13:37
Nonparametric Methods for Estimating Periodic Functions, with Applications in Astronomyeductions about the structure of the other. Therefore period lengths, and light-curve shapes, are of significant interest. In this paper we briefly outline the history and current status of the study of periodic variable stars, and review some of the statistical methods used for their analysis.作者: Adherent 時(shí)間: 2025-3-24 17:04
Probabilistic Modeling for Symbolic Dataty models as well and to derive statistical tools by standard methods (such as maximum likelihood). This approach is exemplified for the case of multivariate interval data where we consider minimum volume hypercubes, average intervals, clustering and regression models, also with reference to previous work.作者: interior 時(shí)間: 2025-3-24 21:23
Iterative Conditional Fitting for Discrete Chain Graph Models in recursive multivariate regressions with correlated errors. This Markov interpretation of the chain graph is consistent with treating the graph as a path diagram and differs from other interpretations known as the LWF and AMP Markov properties.作者: 返老還童 時(shí)間: 2025-3-25 01:15
New Developments in Latent Variable Models: Non-linear and Dynamic Modelsts. Rizopoulos and Moustaki (2007) extended the generalized latent variable model framework to allow for non-linear terms (interactions and higher order terms). Both models are estimated with full information maximum likelihood. Computational aspects, goodness-of-fit statistics and an application are presented.作者: 常到 時(shí)間: 2025-3-25 05:53 作者: 拱形大橋 時(shí)間: 2025-3-25 07:32
Parameterization and Fitting of a Class of Discrete Graphical Modelserative gradient-based algorithm. We discuss a technique for determining fast approximate estimates, that can also be used for initializing the general algorithm and we present an illustration based on data from the U.S. General Social Survey.作者: 訓(xùn)誡 時(shí)間: 2025-3-25 15:17
https://doi.org/10.1007/978-1-349-07129-6s. Other methods are investigated in the hope that they may give better agreement with simulation evidence. They also suggest ways in which bootstrap procedures can be improved so as to yield more accurate inference.作者: 碎石 時(shí)間: 2025-3-25 16:51
Exploring the Bootstrap Discrepancys. Other methods are investigated in the hope that they may give better agreement with simulation evidence. They also suggest ways in which bootstrap procedures can be improved so as to yield more accurate inference.作者: 夜晚 時(shí)間: 2025-3-25 23:11 作者: Myocyte 時(shí)間: 2025-3-26 02:44 作者: Foreshadow 時(shí)間: 2025-3-26 04:39 作者: FLASK 時(shí)間: 2025-3-26 11:30 作者: prolate 時(shí)間: 2025-3-26 16:40
National Management of International Economyimitations of R mean that applications developed there do not scale to the larger problems of interest in practice. We identify some of the limitations of the computational model of the R language that reduces its effectiveness for dealing with large data efficiently in the modern era..We propose de作者: insecticide 時(shí)間: 2025-3-26 18:26 作者: oncologist 時(shí)間: 2025-3-26 23:58
Fundamental, or Structural, Disequilibriaitly parallelizing basic R operations, such as vectorized arithmetic operations; this is suitable for taking advantage of multi-core processors with shared memory. The second approach is based on developing a small set of explicit parallel computation directives and is most useful in a distributed m作者: endure 時(shí)間: 2025-3-27 02:54
The Concept of Fundamental Equilibrium provides exploratory methods for revealing the structure of such data and proceeds typically by heuristical, even if suggestive methods that generalize criteria and algorithms from classical multivariate statistics. In contrast, this paper proposes to base the analysis of symbolic data on probabili作者: Mystic 時(shí)間: 2025-3-27 05:25
The Concept of Fundamental Equilibriume read as a decision tree. We propose in this paper a new version of this method called C-DIVCLUS-T which is able to take contiguity constraints into account. We apply C-DIVCLUS-T to hydrological areas described by agricultural and environmental variables, in order to take their geographical contigu作者: ablate 時(shí)間: 2025-3-27 13:20 作者: assail 時(shí)間: 2025-3-27 13:40
National Management of International Economy models for categorical data. This paper describes a modification of this algorithm, which allows one to compute maximum likelihood estimates in a class of chain graph models for categorical data. The considered discrete chain graph models are defined using conditional independence relations arising作者: ARENA 時(shí)間: 2025-3-27 18:47 作者: Optimum 時(shí)間: 2025-3-27 22:10 作者: convulsion 時(shí)間: 2025-3-28 03:12
https://doi.org/10.1007/978-1-349-07129-6ecifically, the discrepancy between the actual rejection probability of a bootstrap test under the null and the nominal level of the test appears to be smaller than suggested by theory, which in any case often yields only a rate of convergence of this discrepancy to zero. Here it is argued that the 作者: 危險(xiǎn) 時(shí)間: 2025-3-28 09:27 作者: CYT 時(shí)間: 2025-3-28 11:47
Fundamental, or Structural, Disequilibriaitudinal data has been recently proposed by Cagnone, Moustaki and Vasdekis (2008). The model allows for time-dependent latent variables to explain the associations among ordinal variables within time where the associations among the same items across time are modelled with item-specific random effec作者: Altitude 時(shí)間: 2025-3-28 15:23
Overview: Includes supplementary material: 978-3-7908-2083-6978-3-7908-2084-3作者: insurgent 時(shí)間: 2025-3-28 20:41
Fundamental, or Structural, Disequilibriaitly parallelizing basic R operations, such as vectorized arithmetic operations; this is suitable for taking advantage of multi-core processors with shared memory. The second approach is based on developing a small set of explicit parallel computation directives and is most useful in a distributed memory framework.作者: 生意行為 時(shí)間: 2025-3-28 23:14
Paula BritoIncludes supplementary material: 作者: indubitable 時(shí)間: 2025-3-29 06:02
http://image.papertrans.cn/c/image/220436.jpg作者: 愛社交 時(shí)間: 2025-3-29 10:58 作者: 和平主義 時(shí)間: 2025-3-29 11:36 作者: SEVER 時(shí)間: 2025-3-29 17:09
Computable Statistical Research and Practicecrudely described by 3 stages: scoping, to assess what can and needs to be done; analysis, where this is accomplished; and reporting, which communicates the results to others. Barriers to the reuse of computations can be found in the translational needs driving the transition between sub-activities;作者: In-Situ 時(shí)間: 2025-3-29 23:18
Implicit and Explicit Parallel Computing in Ritly parallelizing basic R operations, such as vectorized arithmetic operations; this is suitable for taking advantage of multi-core processors with shared memory. The second approach is based on developing a small set of explicit parallel computation directives and is most useful in a distributed m作者: 抑制 時(shí)間: 2025-3-30 03:15
Probabilistic Modeling for Symbolic Data provides exploratory methods for revealing the structure of such data and proceeds typically by heuristical, even if suggestive methods that generalize criteria and algorithms from classical multivariate statistics. In contrast, this paper proposes to base the analysis of symbolic data on probabili作者: Decimate 時(shí)間: 2025-3-30 04:34
Monothetic Divisive Clustering with Geographical Constraintse read as a decision tree. We propose in this paper a new version of this method called C-DIVCLUS-T which is able to take contiguity constraints into account. We apply C-DIVCLUS-T to hydrological areas described by agricultural and environmental variables, in order to take their geographical contigu作者: jealousy 時(shí)間: 2025-3-30 10:20 作者: Brain-Imaging 時(shí)間: 2025-3-30 15:47
Iterative Conditional Fitting for Discrete Chain Graph Models models for categorical data. This paper describes a modification of this algorithm, which allows one to compute maximum likelihood estimates in a class of chain graph models for categorical data. The considered discrete chain graph models are defined using conditional independence relations arising
