Local weak convergence for sparse networks of interacting processes
Author:
Affiliation:
1. Department of Industrial Engineering and Operations Research, Columbia University
2. Division of Applied Mathematics, Brown University
3. Department of Mathematics, Iowa State University
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference41 articles.
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2. BHAMIDI, S., BUDHIRAJA, A. and WU, R. (2019). Weakly interacting particle systems on inhomogeneous random graphs. Stochastic Process. Appl. 129 2174–2206.
3. COPPINI, F., DIETERT, H. and GIACOMIN, G. (2020). A law of large numbers and large deviations for interacting diffusions on Erdős–Rényi graphs. Stoch. Dyn. 20 2050010, 19.
4. DELATTRE, S., GIACOMIN, G. and LUÇON, E. (2016). A note on dynamical models on random graphs and Fokker–Planck equations. J. Stat. Phys. 165 785–798.
5. LUÇON, E. (2020). Quenched asymptotics for interacting diffusions on inhomogeneous random graphs. Stochastic Process. Appl. 130 6783–6842.
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