These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

141 related articles for article (PubMed ID: 26166910)

  • 1. CONSISTENCY UNDER SAMPLING OF EXPONENTIAL RANDOM GRAPH MODELS.
    Shalizi CR; Rinaldo A
    Ann Stat; 2013 Apr; 41(2):508-535. PubMed ID: 26166910
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Impact of Survey Design on Estimation of Exponential-Family Random Graph Models from Egocentrically-Sampled Data.
    Krivitsky PN; Morris M; Bojanowski M
    Soc Networks; 2022 May; 69():22-34. PubMed ID: 35400801
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A survey on exponential random graph models: an application perspective.
    Ghafouri S; Khasteh SH
    PeerJ Comput Sci; 2020; 6():e269. PubMed ID: 33816920
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Exponential-family random graph models for valued networks.
    Krivitsky PN
    Electron J Stat; 2012; 6():1100-1128. PubMed ID: 24678374
    [TBL] [Abstract][Full Text] [Related]  

  • 5. INFERENCE FOR SOCIAL NETWORK MODELS FROM EGOCENTRICALLY SAMPLED DATA, WITH APPLICATION TO UNDERSTANDING PERSISTENT RACIAL DISPARITIES IN HIV PREVALENCE IN THE US.
    Krivitsky PN; Morris M
    Ann Appl Stat; 2017 Mar; 11(1):427-455. PubMed ID: 29276550
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multilevel network data facilitate statistical inference for curved ERGMs with geometrically weighted terms.
    Stewart J; Schweinberger M; Bojanowski M; Morris M
    Netw Sci (Camb Univ Press); 2019 Oct; 59():98-119. PubMed ID: 32547745
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Practical Network Modeling via Tapered Exponential-family Random Graph Models.
    Blackburn B; Handcock MS
    J Comput Graph Stat; 2023; 32(2):388-401. PubMed ID: 37608920
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects.
    Morris M; Handcock MS; Hunter DR
    J Stat Softw; 2008; 24(4):1548-7660. PubMed ID: 18650964
    [TBL] [Abstract][Full Text] [Related]  

  • 9. ergm.userterms: A Template Package for Extending statnet.
    Hunter DR; Goodreau SM; Handcock MS
    J Stat Softw; 2013 Feb; 52(2):i02. PubMed ID: 24307887
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Testing biological network motif significance with exponential random graph models.
    Stivala A; Lomi A
    Appl Netw Sci; 2021; 6(1):91. PubMed ID: 34841042
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Framework for the Comparison of Maximum Pseudo Likelihood and Maximum Likelihood Estimation of Exponential Family Random Graph Models.
    van Duijn MA; Gile KJ; Handcock MS
    Soc Networks; 2009 Jan; 31(1):52-62. PubMed ID: 23170041
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An approximation method for improving dynamic network model fitting.
    Carnegie NB; Krivitsky PN; Hunter DR; Goodreau SM
    J Comput Graph Stat; 2015; 24(2):502-519. PubMed ID: 26321857
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Network Clustering Analysis Using Mixture Exponential-Family Random Graph Models and Its Application in Genetic Interaction Data.
    Wang Y; Fang H; Yang D; Zhao H; Deng M
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(5):1743-1752. PubMed ID: 28858811
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Adjusting for Network Size and Composition Effects in Exponential-Family Random Graph Models.
    Krivitsky PN; Handcock MS; Morris M
    Stat Methodol; 2011 Jul; 8(4):319-339. PubMed ID: 21691424
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Local dependence in random graph models: characterization, properties and statistical inference.
    Schweinberger M; Handcock MS
    J Am Stat Assoc; 2015 Jun; 77(3):647-676. PubMed ID: 26560142
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparing the Real-World Performance of Exponential-family Random Graph Models and Latent Order Logistic Models for Social Network Analysis.
    Clark DA; Handcock MS
    J R Stat Soc Ser A Stat Soc; 2022 Apr; 185(2):566-587. PubMed ID: 35756390
    [TBL] [Abstract][Full Text] [Related]  

  • 17. ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks.
    Hunter DR; Handcock MS; Butts CT; Goodreau SM; Morris M
    J Stat Softw; 2008 May; 24(3):nihpa54860. PubMed ID: 19756229
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A FLEXIBLE PARAMETERIZATION FOR BASELINE MEAN DEGREE IN MULTIPLE-NETWORK ERGMS.
    Butts CT; Almquist ZW
    J Math Sociol; 2015; 39(3):163-167. PubMed ID: 26366012
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Modelling and monitoring social network change based on exponential random graph models.
    Cai Y; Liu L; Li Z
    J Appl Stat; 2024; 51(9):1621-1641. PubMed ID: 38933140
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Curved Exponential Family Models for Social Networks.
    Hunter DR
    Soc Networks; 2007 Mar; 29(2):216-230. PubMed ID: 18311321
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.