Pages that link to "Item:Q5965276"
From MaRDI portal
The following pages link to A comparison of Bayesian and likelihood-based methods for fitting multilevel models (Q5965276):
Displaying 39 items.
- Variational inference for generalized linear mixed models using partially noncentered parametrizations (Q252744) (← links)
- Impact of frequentist and Bayesian methods on survey sampling practice: a selective appraisal (Q449821) (← links)
- Alternating imputation posterior estimation of models with crossed random effects (Q452521) (← links)
- Objective Bayesian inference for a generalized marginal random effects model (Q516432) (← links)
- A two-component \(G\)-prior for variable selection (Q516468) (← links)
- Likelihood-based and Bayesian methods for Tweedie compound Poisson linear mixed models (Q746345) (← links)
- Hierarchical Bayesian models of reinforcement learning: introduction and comparison to alternative methods (Q825147) (← links)
- Bayesian and likelihood methods for fitting multilevel models with complex level-1 variation. (Q1605374) (← links)
- The matrix-F prior for estimating and testing covariance matrices (Q1631604) (← links)
- Slice-Gibbs sampling algorithm for estimating the parameters of a multilevel item response model (Q1645032) (← links)
- Web-based statistical tools for the analysis and design of clinical trials that incorporate historical controls (Q1663106) (← links)
- A variational maximization-maximization algorithm for generalized linear mixed models with crossed random effects (Q1682443) (← links)
- Joint prior distributions for variance parameters in Bayesian analysis of normal hierarchical models (Q2256756) (← links)
- A simple method for comparing complex models: Bayesian model comparison for hierarchical multinomial processing tree models using Warp-III bridge sampling (Q2331157) (← links)
- Bayesian inference using a noninformative prior for linear Gaussian random coefficient regression with inhomogeneous within-class variances (Q2358909) (← links)
- Additive multilevel item structure models with random residuals: item modeling for explanation and item generation (Q2443319) (← links)
- A nondegenerate penalized likelihood estimator for variance parameters in multilevel models (Q2452355) (← links)
- Split-plot designs for robotic serial dilution assays (Q2893371) (← links)
- Robust statistical modelling using the multivariate skew <i>t</i> distribution with complete and incomplete data (Q3019509) (← links)
- Testing Random Effects in the Linear Mixed Model Using Approximate Bayes Factors (Q3636979) (← links)
- BAYESIAN ANALYSIS OF BIG DATA IN INSURANCE PREDICTIVE MODELING USING DISTRIBUTED COMPUTING (Q4563820) (← links)
- Bayesian correlated models for assessing the prevalence of viruses in organic and non-organic agroecosystems (Q4591491) (← links)
- Performance of empirical Bayes estimators of random coefficients in multilevel analysis: Some results for the random intercept‐only model (Q4821766) (← links)
- <i>p<sub>2</sub></i>: a random effects model with covariates for directed graphs (Q4821769) (← links)
- Modeling Seroadaptation and Sexual Behavior Among HIV<sup>+</sup> Study Participants with a Simultaneously Multilevel and Multivariate Longitudinal Count Model (Q4919591) (← links)
- Using cross-classified multivariate mixed response models with application to life history traits in great tits (Parus major) (Q4970887) (← links)
- Multilevel models with multivariate mixed response types (Q4970916) (← links)
- On modeling the correlation as an additional parameter in random effects model (Q5003659) (← links)
- Bayesian hierarchical models for linear networks (Q5073409) (← links)
- Fitting logistic multilevel models with crossed random effects via Bayesian Integrated Nested Laplace Approximations: a simulation study (Q5106968) (← links)
- A mixed-effects least square support vector regression model for three-level count data (Q5107494) (← links)
- On Some Principles of Statistical Inference (Q6086427) (← links)
- Bivariate hierarchical Bayesian model for combining summary measures and their uncertainties from multiple sources (Q6104159) (← links)
- A comparison of Bayesian Markov chain Monte Carlo methods in a multilevel scenario (Q6141691) (← links)
- Intuitive joint priors for Bayesian linear multilevel models: the R2D2M2 prior (Q6170612) (← links)
- Maximum softly-penalized likelihood for mixed effects logistic regression (Q6171797) (← links)
- Approximate inferences for Bayesian hierarchical generalised linear regression models (Q6581425) (← links)
- A group-sequential randomized trial design utilizing supplemental trial data (Q6622279) (← links)
- Hierarchical Bayes small area estimation for county-level health prevalence to having a personal doctor (Q6668619) (← links)
