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Snijders Scientific mcmc algorithms
Mcmc Algorithms, supplied by Snijders Scientific, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/mcmc+algorithm/mcmc+algorithms/pmc11741508-61-6-15
Average 90 stars, based on 1 article reviews
mcmc algorithms - by Bioz Stars, 2026-10
90/100 stars

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Article Title: Parameter Estimation Procedures for Exponential-family Random Graph Models on Count-valued Networks: A Comparative Simulation Study
Article Snippet: While it is known that conventional MCMC algorithms can in principle mix arbitrarily slowly ( Snijders, 2002 ; Bhamidi et al., 2011 ), in actual practice this problem has been observed primarily in badly specified models that are degenerate or near-degenerate, and hence of limited relevance in typical social network applications ( Hunter et al., 2012 ).

Article Title: First selection, then influence: Developmental differences in friendship dynamics regarding academic achievement.
Article Snippet: The estimates are obtained by MCMC maximum likelihood estimation (Snijders, Koskinen, & Schweinberger, 2010).

Article Title: networksis: A Package to Simulate Bipartite Graphs with Fixed Marginals Through Sequential Importance Sampling
Article Snippet: The standard MCMC algorithm is that developed by Snijders (1991) and extended by Rao, Jana, and Bandyopadhyay (1996) .

Article Title: A curved exponential family model for complex networks
Article Snippet: However, it is well known that these simple MCMC schemes often fail for various reasons to produce well-mixed chains ( Snijders 2002 ; Handcock 2000 ; Snijders et al. 2006 ).

Article Title: Prevalence and Predictors of Poly-Victimization of Adolescents in England and Wales
Article Snippet: We ran a series of multilevel multinomial logit models with MCMC estimation ( ; Snijders & Bosker, 1999 ) to identify risk and protective factors for adolescent poly-victimization.

Article Title: A Novel Simulation Method for Binary Discrete Exponential Families, with Application to Social Networks
Article Snippet: The traditional approach to simulation of such models is the use of MCMC (see, e.g. Snijders, 2002 ), which scales poorly for large networks ( Bhamidi et al., 2011 ).

Article Title: Role Analysis in Networks using Mixtures of Exponential Random Graph Models
Article Snippet: There is a consensus in the literature on ERGMs that estimation should be approached using Monte-Carlo Maximum Likelihood Estimation (MCMLE, Snijders (2002) and Hunter and Handcock (2006) ).

Article Title: The Global Trade in E-Waste: A Network Approach
Article Snippet: Electronic waste trade is a global environmental injustice issue.. Electronic waste is composed of precious metals, making its recycling and reuse economically viable.. Yet, it contains hazardous components that threaten the health of ecosystems and human communities.



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