Likelihood-based inference for exponential-family random graph models via linear programming
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Publication:6144428
DOI10.1214/23-ejs2176arXiv2202.03572OpenAlexW4388876322MaRDI QIDQ6144428
Pavel N. Krivitsky, Alina R. Kuvelkar, David R. Hunter
Publication date: 5 January 2024
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2202.03572
Computational methods for problems pertaining to statistics (62-08) Software, source code, etc. for problems pertaining to statistics (62-04) Parametric inference under constraints (62F30)
Cites Work
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- Modeling social networks from sampled data
- Likelihood inference in exponential families and directions of recession
- Exponential-family models of random graphs: inference in finite, super and infinite population scenarios
- Information Theory and Statistical Mechanics
- On the convex layers of a planar set
- Markov Graphs
- An Exponential Family of Probability Distributions for Directed Graphs
- A model for clustering
- A Useful Distribution for Fitting Discrete Data: Revival of the Conway–Maxwell–Poisson Distribution
- A Stochastic Approximation Method
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