Bayesian factor analysis with fat-tailed factors and its exact marginal likelihood
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Publication:1026360
DOI10.1016/j.jmva.2009.02.001zbMath1163.62044OpenAlexW2029731291MaRDI QIDQ1026360
Publication date: 24 June 2009
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2009.02.001
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Cites Work
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- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- A robust Bayesian approach for structural equation models with missing data
- Nonlinear logistic discrimination via regularized radial basis functions for classifying high-dimensional data
- The distribution of matrix quotients
- Nonlinear regression modeling via regularized radial basis function networks
- Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
- Factor analysis and AIC
- Estimating the dimension of a model
- Nonlinear factor analysis as a statistical method.
- Approximations and consistency of Bayes factors as model dimension grows
- Maximum likelihood methods in treating outliers and symmetrically heavy-tailed distributions for nonlinear structural equation models with missing data
- Marginal Likelihood from the Gibbs Output
- Bayesian Inference for Nonlinear and Non-Gaussian Stochastic Volatility Model with Leverage Effect
- On matric variate-T distribution
- Interpreting the Likelihood Ratio Statistic in Factor Models when Sample Size is Small
- A note on choosing the number of factors
- Generalised information criteria in model selection
- Estimating Bayes Factors via Posterior Simulation With the Laplace-Metropolis Estimator
- Heteroscedastic factor analysis
- Bayesian Selection on the Number of Factors in a Factor Analysis Model
- Bayes Factors
- Bayesian predictive information criterion for the evaluation of hierarchical Bayesian and empirical Bayes models
- Bayesian information criteria and smoothing parameter selection in radial basis function networks
- Determining the Number of Factors in Approximate Factor Models
- Matricvariate Generalizations of the Multivariate $t$ Distribution and the Inverted Multivariate $t$ Distribution
- Contemporary Bayesian Econometrics and Statistics
- VI.—The Estimation of Factor Loadings by the Method of Maximum Likelihood
- Structural Equation Modeling
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