A semiparametric Bayesian approach for structural equation models
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Publication:2786178
DOI10.1002/bimj.200900135zbMath1208.62046OpenAlexW2009028452WikidataQ51691226 ScholiaQ51691226MaRDI QIDQ2786178
Jun-Hao Pan, Liesbeth Vandenput, Ping-Chung Leung, Timothy Kwok, Claes Ohlsson, Xin-Yuan Song
Publication date: 21 September 2010
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.200900135
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Parametric inference (62F99) Nonparametric inference (62G99)
Related Items (7)
Bayesian diagnostics of transformation structural equation models ⋮ Bayesian local influence of semiparametric structural equation models ⋮ Bayesian Gaussian Copula Factor Models for Mixed Data ⋮ A semiparametric Bayesian approach to generalized partial linear mixed models for longitudinal data ⋮ Asymptotic properties of nonparametric estimation and quantile regression in Bayesian structural equation models ⋮ A Bayesian modeling approach for generalized semiparametric structural equation models ⋮ Mixtures of multivariate restricted skew-normal factor analyzer models in a Bayesian framework
Uses Software
Cites Work
- Unnamed Item
- Bayesian semiparametric structural equation models with latent variables
- Some contributions to efficient statistics in structural models: Specification and estimation of moment structures
- Maximum likelihood methods in treating outliers and symmetrically heavy-tailed distributions for nonlinear structural equation models with missing data
- Bayesian Meta-analysis for Longitudinal Data Models Using Multivariate Mixture Priors
- Sampling the Dirichlet Mixture Model with Slices
- Retrospective Markov chain Monte Carlo methods for Dirichlet process hierarchical models
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Analysis of Covariance Structures Under Elliptical Distributions
- Bayesian curve fitting using multivariate normal mixtures
- Practical Bayesian Density Estimation Using Mixtures of Normals
- Bayesian Semiparametric Median Regression Modeling
- Markov chain Monte Carlo in approximate Dirichlet and beta two-parameter process hierarchical models
- A Semiparametric Bayesian Approach to the Random Effects Model
- Statistical Inference Based on Pseudo-Maximum Likelihood Estimators in Elliptical Populations
- Applied Bayesian Modelling
- Gibbs Sampling Methods for Stick-Breaking Priors
- Bayesian Density Estimation and Inference Using Mixtures
- Asymptotically distribution‐free methods for the analysis of covariance structures
- Monte Carlo sampling methods using Markov chains and their applications
- Bayesian Semiparametric Isotonic Regression for Count Data
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