Bayesian estimation of semiparametric nonlinear dynamic factor analysis models using the Dirichlet process prior

DOI10.1348/000711010X497262zbMath1218.62090OpenAlexW1630828848WikidataQ35421711 ScholiaQ35421711MaRDI QIDQ3018637

Sy-Miin Chow, Ying Yuan, Xin-Yuan Song, Nian Sheng Tang, Hong-Tu Zhu

Publication date: 27 July 2011

Published in: British Journal of Mathematical and Statistical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1348/000711010x497262

Mathematics Subject Classification ID

Related Items (19)

Bayesian diagnostics of transformation structural equation models ⋮ Semiparametric Bayesian joint models of multivariate longitudinal and survival data ⋮ Bayesian semiparametric approach to quantile nonlinear dynamic factor analysis models with mixed ordered and nonignorable missing data ⋮ Forecasting intra-individual changes of affective states taking into account inter-individual differences using intensive longitudinal data from a university student dropout study in math ⋮ Nonparametric empirical Bayesian method for noncontractual setting of customer-base analysis ⋮ A semiparametric Bayesian approach to binomial distribution logistic mixed-effects models for longitudinal data ⋮ A semiparametric Bayesian approach to generalized partial linear mixed models for longitudinal data ⋮ Semiparametric Bayesian inference on generalized linear measurement error models ⋮ Bayesian semiparametric reproductive dispersion mixed models for non-normal longitudinal data: estimation and case influence analysis ⋮ Bayesian variable selection and estimation in semiparametric joint models of multivariate longitudinal and survival data ⋮ Multilevel heterogeneous factor analysis and application to ecological momentary assessment ⋮ Bayesian sensitivity analysis of a nonlinear dynamic factor analysis model with nonparametric prior and possible nonignorable missingness ⋮ Estimation of nonlinear mixed‐effects continuous‐time models using the continuous‐discrete extended Kalman filter ⋮ Bayesian influence analysis of generalized partial linear mixed models for longitudinal data ⋮ Nonlinear regime-switching state-space (RSSS) models ⋮ Semiparametric Bayesian analysis of transformation linear mixed models ⋮ Fitting nonlinear ordinary differential equation models with random effects and unknown initial conditions using the stochastic approximation expectation-maximization (SAEM) algorithm ⋮ Bayesian analysis for confirmatory factor model with finite-dimensional Dirichlet prior mixing ⋮ Dirichlet process and its developments: a survey

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Bayesian forecasting and dynamic models.
• A dynamic factor model for the analysis of multivariate time series
• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• Posterior predictive \(p\)-values
• Maximum likelihood estimation of latent interaction effects with the LMS method
• Semiparametric thurstonian models for recurrent choices: a Bayesian analysis
• Modeling individual differences using Dirichlet processes
• Recursive Bayesian estimation using Gaussian sums
• A Bayesian analysis of some nonparametric problems
• Sequential Monte Carlo Methods in Practice
• Markov chain Monte Carlo in approximate Dirichlet and beta two-parameter process hierarchical models
• Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures
• Hypothesis Testing in Mixture Regression Models
• Gibbs Sampling Methods for Stick-Breaking Priors
• Bayesian Density Estimation and Inference Using Mixtures
• Bayesian criterion based model assessment for categorical data
• Structural Equation Modeling
• Simulating normalizing constants: From importance sampling to bridge sampling to path sampling
• Bayesian estimation of state-space models using the Metropolis-Hastings algorithm within Gibbs sampling.
• Modeling and smoothing unequally spaced sequence data

This page was built for publication: Bayesian estimation of semiparametric nonlinear dynamic factor analysis models using the Dirichlet process prior