Using Bayesian Statistics to Model Uncertainty in Mixture Models: A Sensitivity Analysis of Priors
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Using Bayesian Statistics to Model Uncertainty in Mixture Models: A Sensitivity Analysis of Priors
Authors
Keywords
-
Journal
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
Volume 24, Issue 2, Pages 198-215
Publisher
Informa UK Limited
Online
2016-12-19
DOI
10.1080/10705511.2016.1250640
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Iteration of Partially Specified Target Matrices: Applications in Exploratory and Bayesian Confirmatory Factor Analysis
- (2015) Tyler M. Moore et al. MULTIVARIATE BEHAVIORAL RESEARCH
- Comparison of Inverse Wishart and Separation-Strategy Priors for Bayesian Estimation of Covariance Parameter Matrix in Growth Curve Analysis
- (2015) Haiyan Liu et al. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- A Bayesian Approach to Multilevel Structural Equation Modeling With Continuous and Dichotomous Outcomes
- (2015) Sarah Depaoli et al. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- Evaluation of a Bayesian Approach to Estimating Nonlinear Mixed-Effects Mixture Models
- (2014) Sarfaraz Serang et al. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- A web-based tool for eliciting probability distributions from experts
- (2013) David E. Morris et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Single and Multiple Ability Estimation in the SEM Framework: A Noninformative Bayesian Estimation Approach
- (2013) Su-Young Kim et al. MULTIVARIATE BEHAVIORAL RESEARCH
- Bayesian Inference and Application of Robust Growth Curve Models Using Student'stDistribution
- (2013) Zhiyong Zhang et al. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- Eliciting Expert Knowledge in Conservation Science
- (2012) TARA G. MARTIN et al. CONSERVATION BIOLOGY
- Measurement and Structural Model Class Separation in Mixture CFA: ML/EM Versus MCMC
- (2012) Sarah Depaoli STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- Bayesian influence analysis: a geometric approach
- (2011) H. Zhu et al. BIOMETRIKA
- Incorporation of historical data in the analysis of randomized therapeutic trials
- (2011) Charlotte Rietbergen et al. Contemporary Clinical Trials
- Bayesian Inference for Growth Mixture Models with Latent Class Dependent Missing Data
- (2011) Zhenqiu Laura Lu et al. MULTIVARIATE BEHAVIORAL RESEARCH
- Bayesian forecasting of immigration to selected European countries by using expert knowledge
- (2010) Jakub Bijak et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
- Bayesian Semiparametric Structural Equation Models with Latent Variables
- (2010) Mingan Yang et al. PSYCHOMETRIKA
- Evaluation of Structural Equation Mixture Models: Parameter Estimates and Correct Class Assignment
- (2010) Stephen Tueller et al. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- Nonlinear Growth Models in Mplusand SAS
- (2009) Kevin J. Grimm et al. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- In-season prediction of batting averages: A field test of empirical Bayes and Bayes methodologies
- (2008) Lawrence D. Brown Annals of Applied Statistics
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now