The following pages link to (Q3378781):
Displaying 15 items.
- Bayesian analysis of multivariate probit models with surrogate outcome data (Q603165) (← links)
- The Monte Carlo EM method for estimating multinomial probit latent variable models (Q626207) (← links)
- A deep learning algorithm for high-dimensional exploratory item factor analysis (Q823855) (← links)
- High-dimensional exploratory item factor analysis by a Metropolis-Hastings Robbins-Monro algorithm (Q971529) (← links)
- The EM algorithm for the extended finite mixture of the factor analyzers model (Q1023742) (← links)
- Sequential Monte Carlo EM for multivariate probit models (Q1623415) (← links)
- Maximum likelihood estimation of multinomial probit factor analysis models for multivariate \(t\)-distribution (Q2259075) (← links)
- A mixture of generalized latent variable models for mixed mode and heterogeneous data (Q2275642) (← links)
- Local influence analysis of multivariate probit latent variable models (Q2507744) (← links)
- Identification and Estimation of Dichotomous Latent Variables Models Using Panel Data (Q3361738) (← links)
- Modeling the Effects of a Bidirectional Latent Predictor from Multivariate Questionnaire Data (Q3445333) (← links)
- A Bayesian multivariate partially linear single-index probit model for ordinal responses (Q4960632) (← links)
- Estimating correlations between vaccine clinical trial outcomes (Q5044656) (← links)
- On the Multivariate Probit Model for Exchangeable Binary Data with Covariates (Q5122625) (← links)
- A study of the probit model with latent variables in Phase I clinical trials (Q5220814) (← links)
