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Analysis of Partially Observed Networks via Exponential-family Random Network Models
Analysis Partially Observed Networks via Exponential-family Random Network Models
2013/4/27
Exponential-family random network (ERN) models specify a joint representation of both the dyads of a network and nodal characteristics. This class of models allow the nodal characteristics to be model...
Convergence and asymptotic normality of variational Bayesian approximations for exponential family models with missing values
Convergence asymptotic normality variational Bayesian approximations exponential family models missing values
2012/9/19
We study the properties of variational Bayes approximations for exponential family mod-els with missing values. It is shown that the iterative algorithm for obtaining the varia-tional Bayesian estimat...
Random graphs, where the connections between nodes are considered random variables, have wide applicability in the social sciences. Exponential-family Random Graph Models (ERGM) have shown themselves ...
Limits of densities belonging to an exponential family appear in many applications, {e.g.} Gibbs models in Statistical Physics, relaxed combinatorial optimization, coding theory, critical likelihood c...
Limits of densities belonging to an exponential family appear in many applications, {e.g.} Gibbs models in Statistical Physics, relaxed combinatorial optimization, coding theory, critical likelihood c...
Proper Priors Yielding Linear Bayes Estimators for the Natural Parameter of an Exponential Family
Linear Bayes Estimators Natural Parameter an Exponential Family
2009/9/18
Proper Priors Yielding Linear Bayes Estimators for the Natural Parameter of an Exponential Family。
Skewness and Kurtosis for Maximum Likelihood Estimator in One-Parameter Exponential Family Models
Maximum Likelihood Estimator One-Parameter Exponential Family Models
2009/9/18
Skewness and Kurtosis for Maximum Likelihood Estimator in One-Parameter Exponential Family Models。
Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes
stationary marked Gibbs point processes pseudolikelihood method minimum contrast estimators
2009/9/16
This paper is devoted to the estimation of a vector θ parametrizing an energy function of a Gibbs point process, via the maximum pseudolikelihood method. Strong consistency and asymptotic normality re...