A mixture of experts latent position cluster model for social network data

[1]  Tom A. B. Snijders,et al.  Social Network Analysis , 2011, International Encyclopedia of Statistical Science.

[2]  I. C. Gormley,et al.  A grade of membership model for rank data , 2009 .

[3]  I. C. Gormley,et al.  Clustering Ranked Preference Data Using Sociodemographic Covariates , 2009 .

[4]  Michael I. Jordan,et al.  Graphical Models, Exponential Families, and Variational Inference , 2008, Found. Trends Mach. Learn..

[5]  I. C. Gormley,et al.  A mixture of experts model for rank data with applications in election studies , 2008, 0901.4203.

[6]  Pavel N Krivitsky,et al.  Fitting Position Latent Cluster Models for Social Networks with latentnet. , 2008, Journal of statistical software.

[7]  A. Raftery,et al.  Model‐based clustering for social networks , 2007 .

[8]  A. P. Dawid,et al.  Bayesian Statistics 8 , 2007 .

[9]  Tony O’Hagan Bayes factors , 2006 .

[10]  P. Pattison,et al.  New Specifications for Exponential Random Graph Models , 2006 .

[11]  M. Newton,et al.  Estimating the Integrated Likelihood via Posterior Simulation Using the Harmonic Mean Identity , 2006 .

[12]  Tom A. B. Snijders,et al.  Manual for SIENA version 2.1 , 2005 .

[13]  D. Hunter,et al.  A Tutorial on MM Algorithms , 2004 .

[14]  P. D. Laat The collegial phenomenon. The social mechanisms of cooperation among peers in a corporate law partnership , 2003 .

[15]  C. Robert,et al.  Estimating Mixtures of Regressions , 2003 .

[16]  D. Hunter MM algorithms for generalized Bradley-Terry models , 2003 .

[17]  Peter D. Hoff,et al.  Latent Space Approaches to Social Network Analysis , 2002 .

[18]  Eric R. Ziegel,et al.  Generalized Linear Models , 2002, Technometrics.

[19]  Adrian E. Raftery,et al.  Model-Based Clustering, Discriminant Analysis, and Density Estimation , 2002 .

[20]  E. Lazega Introduction : Collegial Phenomenon : The Social Mechanisms of Cooperation Among Peers in a Corporate Law Partnership , 2001 .

[21]  C. Robert,et al.  Computational and Inferential Difficulties with Mixture Posterior Distributions , 2000 .

[22]  D. Hunter,et al.  Optimization Transfer Using Surrogate Objective Functions , 2000 .

[23]  M. Stephens Dealing with label switching in mixture models , 2000 .

[24]  Sylvia Richardson,et al.  Markov Chain Monte Carlo in Practice , 1997 .

[25]  Bradley P. Carlin,et al.  BAYES AND EMPIRICAL BAYES METHODS FOR DATA ANALYSIS , 1996, Stat. Comput..

[26]  P. Green,et al.  Corrigendum: On Bayesian analysis of mixtures with an unknown number of components , 1997 .

[27]  P. Green,et al.  On Bayesian Analysis of Mixtures with an Unknown Number of Components (with discussion) , 1997 .

[28]  Fengchun Peng,et al.  Bayesian Inference in Mixtures-of-Experts and Hierarchical Mixtures-of-Experts Models With an Applic , 1996 .

[29]  S. Chib,et al.  Understanding the Metropolis-Hastings Algorithm , 1995 .

[30]  C. Robert,et al.  Estimation of Finite Mixture Distributions Through Bayesian Sampling , 1994 .

[31]  A. W. Kemp,et al.  Kendall's Advanced Theory of Statistics. , 1994 .

[32]  Robert A. Jacobs,et al.  Hierarchical Mixtures of Experts and the EM Algorithm , 1993, Neural Computation.

[33]  A. Raftery,et al.  Model-based Gaussian and non-Gaussian clustering , 1993 .

[34]  Geoffrey E. Hinton,et al.  Adaptive Mixtures of Local Experts , 1991, Neural Computation.

[35]  John Scott What is social network analysis , 2010 .

[36]  Stuart German,et al.  Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images , 1988 .

[37]  Wojtek J. Krzanowski,et al.  Principles of multivariate analysis : a user's perspective. oxford , 1988 .

[38]  M. Kendall,et al.  Kendall's advanced theory of statistics , 1995 .

[39]  G. Schwarz Estimating the Dimension of a Model , 1978 .

[40]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[41]  H. Akaike,et al.  Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .

[42]  N. Metropolis,et al.  Equation of State Calculations by Fast Computing Machines , 1953, Resonance.