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Thermodynamic versus statistical nonequivalence of ensembles for the mean-field Blume-Emery-Griffiths model
Not equivalent statistical mechanics testing model not equivalent common thermodynamics
2014/12/29
We illustrate a novel characterization of nonequivalent statistical mechanical ensembles using the mean-field Blume–Emery–Griffiths (BEG) model as a test model. The novel characterization takes effect...
Analysis of phase transitions in the mean-field Blume-Emery-Griffiths model
Analysis phase transformation model the thermodynamics parameters define the model
2014/12/25
In this paper we give a complete analysis of the phase transitions in the mean-field Blume-Emery-Griffiths lattice-spin model with respect to the canonical ensemble, showing both a second-order, conti...
Mean field variational Bayesian inference for support vector machine classification
Approximate Bayesian inference variable selection missing data mixed model Markov chain Monte Carlo
2013/6/14
A mean field variational Bayes approach to support vector machines (SVMs) using the latent variable representation on Polson & Scott (2012) is presented. This representation allows circumvention of ma...
Mean field inference for the Dirichlet process mixture model
Bayesian nonparametrics approximation methods variational inference density estimation
2009/9/16
We present a systematic study of several recently proposed methods of mean field inference for the Dirichlet process mixture (DPM) model. These methods provide approximations to the posterior distribu...
Metropolis algorithm and equienergy sampling for two mean field spin systems
asymptotic variance Chain decomposition theorem fast/slowly mixingchain mean-field Ising model Metropolis
2010/4/28
In this paper we study the Metropolis algorithm in connection
with two mean–field spin systems, the so called mean–field Ising model and
the Blume–Emery–Griffiths model. In both this examples the na...