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mcmc algorithms  (Snijders Scientific)

 
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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, 2026-09
    90/100 stars

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    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: MAXIMUM LIKELIHOOD ESTIMATION FOR SOCIAL NETWORK DYNAMICS
    Article Snippet: This article presents an MCMC algorithm for approximating the ML estimator, combining and extending ideas in Gu and Kong (1998) , Snijders (2001) , and Koskinen and Snijders (2007) , the latter of which proposed for this model a MCMC algorithm for Bayesian inference.

    Article Title: A Framework for the Comparison of Maximum Pseudo Likelihood and Maximum Likelihood Estimation of Exponential Family Random Graph Models
    Article Snippet: To generate the sample we use a MCMC algorithm ( Geyer and Thompson, 1992 ; Snijders, 2002 ; Handcock, 2002 ).



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