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Asymptotic normality in the maximum entropy models on graphs with an
  increasing number of parameters

Asymptotic normality in the maximum entropy models on graphs with an increasing number of parameters

8 August 2013
T. Yan
Yunpeng Zhao
H. Qin
ArXivPDFHTML

Papers citing "Asymptotic normality in the maximum entropy models on graphs with an increasing number of parameters"

4 / 4 papers shown
Title
Asymptotic theory in network models with covariates and a growing number
  of node parameters
Asymptotic theory in network models with covariates and a growing number of node parameters
Q. Wang
Yuan Zhang
T. Yan
31
1
0
20 Jul 2022
Asymptotic Theory for Differentially Private Generalized $β$-models
  with Parameters Increasing
Asymptotic Theory for Differentially Private Generalized βββ-models with Parameters Increasing
Yifan Fan
Huiming Zhang
T. Yan
FedML
14
14
0
28 Feb 2020
Consistent structure estimation of exponential-family random graph
  models with block structure
Consistent structure estimation of exponential-family random graph models with block structure
M. Schweinberger
49
15
0
24 Feb 2017
Asymptotics in directed exponential random graph models with an
  increasing bi-degree sequence
Asymptotics in directed exponential random graph models with an increasing bi-degree sequence
T. Yan
Chenlei Leng
Ji Zhu
31
88
0
06 Aug 2014
1