Authors’ reply to the Discussion of ‘Root and community inference on the latent growth process of a network’
Author:
Affiliation:
1. Department of Statistics, Rutgers University , New Brunswick, NJ , USA
Publisher
Oxford University Press (OUP)
Link
https://academic.oup.com/jrsssb/advance-article-pdf/doi/10.1093/jrsssb/qkae052/58172168/qkae052.pdf
Reference13 articles.
1. Fluctuation bounds for continuous time branching processes and evolution of growing trees with a change point;Banerjee;The Annals of Applied Probability,2023
2. Random-walk models of network formation and sequential monte carlo methods for graphs;Bloem-Reddy;Journal of the Royal Statistical Society: Series B (Statistical Methodology),2018
3. Archaeology of random recursive dags and cooper-frieze random networks;Briend;Combinatorics, Probability and Computing,2023
4. Finding Adam in random growing trees;Bubeck;Random Structures & Algorithms,2017
5. Inference on the history of a randomly growing tree;Crane;Journal of the Royal Statistical Society Series B: Statistical Methodology,2021
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