Pages that link to "Item:Q4262907"

The following pages link to Laplace Importance Sampling for Generalized Linear Mixed Models (Q4262907):

Displaying 22 items.

• A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design (Q340870) (← links)
• Quasi-Monte Carlo for highly structured generalised response models (Q931378) (← links)
• Quasi-Monte Carlo sampling to improve the efficiency of Monte Carlo EM (Q957148) (← links)
• Nonignorable dropout models for longitudinal binary data with random effects: an application of Monte Carlo approximation through the Gibbs output (Q961962) (← links)
• Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models (Q1010406) (← links)
• Slice-Gibbs sampling algorithm for estimating the parameters of a multilevel item response model (Q1645032) (← links)
• Langevin incremental mixture importance sampling (Q1703855) (← links)
• Fitting general stochastic volatility models using Laplace accelerated sequential importance sampling (Q1927096) (← links)
• Coupling the reduced-order model and the generative model for an importance sampling estimator (Q2123351) (← links)
• Bayesian algorithm based on auxiliary variables for estimating item response theory models with non-ignorable missing response data (Q2132038) (← links)
• A Laplace-based algorithm for Bayesian adaptive design (Q2209698) (← links)
• Estimation and prediction for spatial generalized linear mixed models using high order Laplace approximation (Q2276187) (← links)
• Monte Carlo approximation through Gibbs output in generalized linear mixed models (Q2485993) (← links)
• Efficient simulated maximum likelihood estimation through explicitly parameter dependent importance sampling (Q2512765) (← links)
• Mixed effects models for recurrent events data with partially observed time-varying covariates: ecological momentary assessment of smoking (Q2805177) (← links)
• Generalized linear mixed models for strawberry inflorescence data (Q3430004) (← links)
• Prediction in Multilevel Logistic Regression (Q3589990) (← links)
• Efficient Importance Sampling in Quasi-Monte Carlo Methods for Computational Finance (Q5856682) (← links)
• On the Error Rate of Importance Sampling with Randomized Quasi-Monte Carlo (Q5886241) (← links)
• Random effects multinomial processing tree models: a maximum likelihood approach (Q6057039) (← links)
• A latent variable mixed-effects location scale model that also considers between-person differences in the autocorrelation (Q6560462) (← links)
• Achieving high convergence rates by quasi-Monte Carlo and importance sampling for unbounded integrands (Q6633130) (← links)