Structural equation modeling with factors and composites within the framework of the basic design [0.03%]
基本设计中基于结构方程的多指标构造建模方法框架研究——因素与复合物 конструкция моделирования по уравнениям структуры при наличии факторов и составных элементов в рамках базового проектного решения
Arthur Tenenhaus,Michel Tenenhaus,Theo K Dijkstra
Arthur Tenenhaus
In this paper, we study structural equation modeling with factors and composites within the framework of the basic design. The PLS approach (i.e. PLS-SEM based on PLS-PM, PLSc and the composite model) used to estimate this model has many li...
Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks [0.03%]
具有个体特定效应的边际模型用于纵向二分网络分析
Francesco Bartolucci,Antonietta Mira,Stefano Peluso
Francesco Bartolucci
A new modeling framework for bipartite social networks arising from a sequence of partially time-ordered relational events is proposed. We directly model the joint distribution of the binary variables indicating if each single actor is invo...
Wouter van Loon,Marjolein Fokkema,Botond Szabo et al.
Wouter van Loon et al.
Multi-view stacking is a framework for combining information from different views (i.e. different feature sets) describing the same set of objects. In this framework, a base-learner algorithm is trained on each view separately, and their pr...
Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions [0.03%]
关于多变量峰度正常分布混合模型的简约与参数估计方法研究
Ryan P Browne,Luca Bagnato,Antonio Punzo
Ryan P Browne
Mixtures of multivariate leptokurtic-normal distributions have been recently introduced in the clustering literature based on mixtures of elliptical heavy-tailed distributions. They have the advantage of having parameters directly related t...
The role of diversity and ensemble learning in credit card fraud detection [0.03%]
多样性与集成学习在信用卡欺诈检测中的作用分析
Gian Marco Paldino,Bertrand Lebichot,Yann-Aël Le Borgne et al.
Gian Marco Paldino et al.
The number of daily credit card transactions is inexorably growing: the e-commerce market expansion and the recent constraints for the Covid-19 pandemic have significantly increased the use of electronic payments. The ability to precisely d...
Tin Lok James Ng,Thomas Brendan Murphy
Tin Lok James Ng
A probabilistic model for random hypergraphs is introduced to represent unary, binary and higher order interactions among objects in real-world problems. This model is an extension of the latent class analysis model that introduces two clus...
How many data clusters are in the Galaxy data set?: Bayesian cluster analysis in action [0.03%]
银河数据集中有多少个数据簇？：贝叶斯聚类分析的实际应用
Bettina Grün,Gertraud Malsiner-Walli,Sylvia Frühwirth-Schnatter
Bettina Grün
In model-based clustering, the Galaxy data set is often used as a benchmark data set to study the performance of different modeling approaches. Aitkin (Stat Model 1:287-304) compares maximum likelihood and Bayesian analyses of the Galaxy da...
Federico Ferraccioli,Giovanna Menardi
Federico Ferraccioli
The nonparametric formulation of density-based clustering, known as modal clustering, draws a correspondence between groups and the attraction domains of the modes of the density function underlying the data. Its probabilistic foundation al...
Basis expansion approaches for functional analysis of variance with repeated measures [0.03%]
重复测量的函数方差分析中的基扩张方法
Christian Acal,Ana M Aguilera
Christian Acal
The methodological contribution in this paper is motivated by biomechanical studies where data characterizing human movement are waveform curves representing joint measures such as flexion angles, velocity, acceleration, and so on. In many ...
Unobserved classes and extra variables in high-dimensional discriminant analysis [0.03%]
高维判别分析中的未观察类和额外变量
Michael Fop,Pierre-Alexandre Mattei,Charles Bouveyron et al.
Michael Fop et al.
In supervised classification problems, the test set may contain data points belonging to classes not observed in the learning phase. Moreover, the same units in the test data may be measured on a set of additional variables recorded at a su...