The following pages link to Jeroen K. Vermunt (Q318132):
Displaying 35 items.
- Power and sample size computation for Wald tests in latent class models (Q318133) (← links)
- Divisive latent class modeling as a density estimation method for categorical data (Q318135) (← links)
- Clustering financial time series: new insights from an extended hidden Markov model (Q319224) (← links)
- A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models (Q369340) (← links)
- (Q497098) (redirect page) (← links)
- Long-term developments of respondent financial product portfolios in the EU: a multilevel latent class analysis (Q497099) (← links)
- A bootstrap-based aggregate classifier for model-based clustering (Q626243) (← links)
- Latent class models for classification (Q951821) (← links)
- Two-way imputation: a Bayesian method for estimating missing scores in tests and questionnaires, and an accurate approximation (Q1020046) (← links)
- A hierarchical mixture model for clustering three-way data sets (Q1020215) (← links)
- A Poisson log-bilinear regression approach to the construction of projected lifetables. (Q1413367) (← links)
- (Q1658737) (redirect page) (← links)
- Estimating random-intercept models on data streams (Q1658738) (← links)
- A new three-step method for using inverse propensity weighting with latent class analysis (Q2089295) (← links)
- The spatial representation of consumer dispersion patterns via a new multi-level latent class methodology (Q2169868) (← links)
- Erratum to: ``The spatial representation of consumer dispersion patterns via a new multi-level latent class methodology'' (Q2169869) (← links)
- The order-restricted association model: two estimation algorithms and issues in testing (Q2260017) (← links)
- Estimating multilevel models on data streams (Q2331143) (← links)
- Partial likelihood estimation of IRT models with censored lifetime data: an application to mental disorders in the ESEMeD surveys (Q2339072) (← links)
- Online estimation of individual-level effects using streaming shrinkage factors (Q2416768) (← links)
- Micro-macro multilevel latent class models with multiple discrete individual-level variables (Q2418262) (← links)
- Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models (Q2418266) (← links)
- Bootstrap methods for measuring classification uncertainty in latent class analysis (Q3298584) (← links)
- Use of latent class regression models with a random intercept to remove the effects of the overall response rating level (Q3298622) (← links)
- (Q3562659) (← links)
- Latent class and finite mixture models for multilevel data sets (Q3597443) (← links)
- (Q4346418) (← links)
- Latent class models for testing monotonicity and invariant item ordering for polytomous items (Q4614579) (← links)
- A semi‐parametric within‐subject mixture approach to the analyses of responses and response times (Q4643194) (← links)
- An EM algorithm for the estimation of parametric and nonparametric hierarchical nonlinear models (Q4821767) (← links)
- Multiple imputation of longitudinal categorical data through bayesian mixture latent Markov models (Q5037018) (← links)
- Testing log‐linear models with inequality constraints: a comparison of asymptotic, bootstrap, and posterior predictive <i>p</i>‐values (Q5313476) (← links)
- Avoiding Boundary Estimates in Latent Class Analysis by Bayesian Posterior Mode Estimation (Q5493075) (← links)
- A factor mixture model for multivariate survival data: an application to the analysis of lifetime mental disorders (Q6638987) (← links)
- Estimating the number of serious road injuries per vehicle type in the Netherlands by using multiple imputation of latent classes (Q6668834) (← links)
