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Exploring dependence structures in the international arms trade network: A network autocorrelation approach

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Publication:3386465
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DOI10.1177/1471082X18817673OpenAlexW2910193396MaRDI QIDQ3386465

Göran Kauermann, Michael Lebacher, Paul W. Thurner

Publication date: 4 January 2021

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x18817673

zbMATH Keywords

model selectionspatial econometricsdependence structuresarms tradenetwork disturbance model


Mathematics Subject Classification ID

Statistics (62-XX)



Uses Software

  • R
  • ggplot2
  • igraph
  • Arc_Mat
  • statnet
  • latentnet
  • imputeTS
  • stargazer
  • xergm
  • amen


Cites Work

  • Unnamed Item
  • Unnamed Item
  • Exponential-family random graph models for valued networks
  • Analyzing complex functional brain networks: fusing statistics and network science to understand the brain
  • Statistical analysis of network data. Methods and models
  • ggplot2
  • Model Selection and Model Averaging
  • Markov Graphs
  • An Exponential Family of Probability Distributions for Directed Graphs
  • Latent Space Approaches to Social Network Analysis
  • A hitchhiker's view on spatial statistics and spatial econometrics for lattice data
  • Hierarchical Insurance Claims Modeling
  • A Simplex Method for Function Minimization
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