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On the Question of Effective Sample Size in Network Modeling: An
  Asymptotic Inquiry
v1v2v3v4 (latest)

On the Question of Effective Sample Size in Network Modeling: An Asymptotic Inquiry

5 December 2011
E. D. Kolaczyk
P. Krivitsky
ArXiv (abs)PDFHTML

Papers citing "On the Question of Effective Sample Size in Network Modeling: An Asymptotic Inquiry"

13 / 13 papers shown
Title
Learning cross-layer dependence structure in multilayer networks
Learning cross-layer dependence structure in multilayer networks
Jiaheng Li
J. Stewart
65
0
0
27 Jul 2023
Continuous Time Graph Processes with Known ERGM Equilibria: Contextual
  Review, Extensions, and Synthesis
Continuous Time Graph Processes with Known ERGM Equilibria: Contextual Review, Extensions, and Synthesis
C. Butts
53
4
0
14 Mar 2022
Kernel-based Approximate Bayesian Inference for Exponential Family
  Random Graph Models
Kernel-based Approximate Bayesian Inference for Exponential Family Random Graph Models
Fan Yin
C. Butts
62
4
0
17 Apr 2020
Finite Mixtures of ERGMs for Modeling Ensembles of Networks
Finite Mixtures of ERGMs for Modeling Ensembles of Networks
Fan Yin
Weining Shen
C. Butts
21
8
0
24 Oct 2019
Algebraic Statistics in Practice: Applications to Networks
Algebraic Statistics in Practice: Applications to Networks
M. Casanellas
S. Petrović
Caroline Uhler
37
4
0
23 Jun 2019
A Dynamic Process Interpretation of the Sparse ERGM Reference Model
A Dynamic Process Interpretation of the Sparse ERGM Reference Model
C. Butts
26
16
0
30 Jan 2018
A note on the role of projectivity in likelihood-based inference for
  random graph models
A note on the role of projectivity in likelihood-based inference for random graph models
M. Schweinberger
P. Krivitsky
C. Butts
18
3
0
01 Jul 2017
Causal inference for social network data
Causal inference for social network data
Elizabeth L. Ogburn
Oleg Sofrygin
Iván Díaz
M. J. van der Laan
CML
103
111
0
23 May 2017
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
90
16
0
24 Feb 2017
Concentration and consistency results for canonical and curved
  exponential-family models of random graphs
Concentration and consistency results for canonical and curved exponential-family models of random graphs
M. Schweinberger
J. Stewart
95
31
0
06 Feb 2017
Random Networks, Graphical Models, and Exchangeability
Random Networks, Graphical Models, and Exchangeability
Steffen Lauritzen
Alessandro Rinaldo
Kayvan Sadeghi
65
36
0
29 Jan 2017
Monte Carlo goodness-of-fit tests for degree corrected and related
  stochastic blockmodels
Monte Carlo goodness-of-fit tests for degree corrected and related stochastic blockmodels
Vishesh Karwa
D. Pati
Sonja Petrović
Liam Solus
N. Alexeev
Mateja Raivc
Dane Wilburne
Robert Williams
Bowei Yan
92
10
0
19 Dec 2016
DERGMs: Degeneracy-restricted exponential random graph models
DERGMs: Degeneracy-restricted exponential random graph models
Vishesh Karwa
Sonja Petrović
Denis Bajic
63
4
0
09 Dec 2016
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