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Kernel-based Approximate Bayesian Inference for Exponential Family
  Random Graph Models
v1v2 (latest)

Kernel-based Approximate Bayesian Inference for Exponential Family Random Graph Models

17 April 2020
Fan Yin
C. Butts
ArXiv (abs)PDFHTML

Papers citing "Kernel-based Approximate Bayesian Inference for Exponential Family Random Graph Models"

2 / 2 papers shown
Actor Heterogeneity and Explained Variance in Network Models -- A
  Scalable Approach through Variational Approximations
Actor Heterogeneity and Explained Variance in Network Models -- A Scalable Approach through Variational Approximations
Nadja Klein
Goran Kauermann
158
0
0
29 Apr 2022
Bayesian Model Selection for High-Dimensional Ising Models, With
  Applications to Educational Data
Bayesian Model Selection for High-Dimensional Ising Models, With Applications to Educational DataComputational Statistics & Data Analysis (CSDA), 2019
Jaewoo Park
Ick Hoon Jin
M. Schweinberger
236
9
0
17 Nov 2019
1
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