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含协变量的有向网络模型中的统计推断AI 解读

Ting Yana http://orcid.org/0000-0001-9830-6646, Binyan Jiangb, Stephen E. Fienbergc* & Chenlei Lengd*a Department of Statistics, Central China Normal University, Wuhan, Chinab Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, Chinac Department of Statistics, Heinz College, Machine Learning Department, Cylab, Carnegie Mellon University, Pittsburgh, PAd Department of Statistics, University of Warwick and Alan Turing Institute, Coventry, UKCONTACT…

β 模型中的最大似然估计AI 解读

We study maximum likelihood estimation for the statistical model for undirected random graphs, known as the $\beta$-model, in which the degree sequences are minimal sufficient statistics. We derive necessary and sufficient conditions, based on the polytope of degree sequences, for the existence of the maximum likelihood estimator (MLE) of the model parameters. We characterize in a combinatorial fashion sample points leading to a nonexistent MLE, and nonestimability of the…

多重社会关系的统计分析AI 解读

Loglinear models are adapted for the analysis of multivariate social networks, a set of sociometric relations among a group of actors. Models that focus on the similarities and differences between the relations and models that concentrate on individual actors are discussed. This approach allows for the partitioning of the actors into blocks or subgroups. Some ideas for combining these models are described, and the various models and computational methods are applied to the…

成对与多项比较模型的对数线性表示AI 解读

This paper develops log linear model representations for the Bradley-Terry paired comparisons and Luce multiple comparisons models. Various multivariate extensions of the Bradley-Terry model are then considered. A model is presented, similar to one of Davidson & Bradley (1969), but which is based on the log odds ratio as a measure of association rather than the ø coefficient of correlation. It is shown that, by the adaptive use of log linear model theory, complex data seta…

成对比较与多项比较模型的对数线性表示AI 解读

SUMAIARY This paper develops log linear model representations for the Bradley-Terry paired comparisons and Luce multiple comparisons models. Various multivariate extensions of the Bradley-Terry model are then considered. A model is presented, similar to one of Davidson & Bradley (1969), but which is based on the log odds ratio as a measure of association rather than the 0 coefficient of correlation. It is shown that, by the adaptive use of log linear model theory, complex…