Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects [0.03%]
指数随机图模型的规范：术语和计算方面
Martina Morris,Mark S Handcock,David R Hunter
Martina Morris
Exponential-family random graph models (ERGMs) represent the processes that govern the formation of links in networks through the terms selected by the user. The terms specify network statistics that are sufficient to represent the probabil...
statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data [0.03%]
Statnet软件包：网络数据的表示、可视化、分析和模拟工具
Mark S Handcock,David R Hunter,Carter T Butts et al.
Mark S Handcock et al.
statnet is a suite of software packages for statistical network analysis. The packages implement recent advances in network modeling based on exponential-family random graph models (ERGM). The components of the package provide a comprehensi...
A statnet Tutorial [0.03%]
statnet教程
Steven M Goodreau,Mark S Handcock,David R Hunter et al.
Steven M Goodreau et al.
The statnet suite of R packages contains a wide range of functionality for the statistical analysis of social networks, including the implementation of exponential-family random graph (ERG) models. In this paper we illustrate some of the fu...
Bayesian Smoothing with Gaussian Processes Using Fourier Basis Functions in the spectralGP Package [0.03%]
基于谱理论的Gauss过程中的Fourier基函数及Bayesian平滑方法
Christopher J Paciorek
Christopher J Paciorek
The spectral representation of stationary Gaussian processes via the Fourier basis provides a computationally efficient specification of spatial surfaces and nonparametric regression functions for use in various statistical models. I descri...