Pages that link to "Item:Q2775630"
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The following pages link to Counting degrees of freedom in hierarchical and other richly-parameterised models (Q2775630):
Displaying 42 items.
- Fence methods for mixed model selection (Q124080) (← links)
- Model selection in linear mixed models (Q252741) (← links)
- Frequentist model averaging for linear mixed-effects models (Q372223) (← links)
- Conditional Akaike information criterion for generalized linear mixed models (Q425668) (← links)
- Model selection in linear mixed effect models (Q432304) (← links)
- Effective degrees of freedom and its application to conditional AIC for linear mixed-effects models with correlated error structures (Q458645) (← links)
- A more flexible joint latent model for longitudinal and survival time data (Q626415) (← links)
- Conditional and unconditional methods for selecting variables in linear mixed models (Q631631) (← links)
- Online anomaly detection of profiles with varying coefficients via functional mixed effects modelling (Q823459) (← links)
- Bayesian backfitting. (With comments and a rejoinder). (Q1431182) (← links)
- Choice of generalized linear mixed models using predictive crossvalidation (Q1623490) (← links)
- Comparison of concordance correlation coefficient via variance components, generalized estimating equations and weighted approaches with model selection (Q1623739) (← links)
- Information methods for model selection in linear mixed effects models with application to HCV data (Q1658322) (← links)
- A note on conditional Akaike information for Poisson regression with random effects (Q1950802) (← links)
- Penalized regression, mixed effects models and appropriate modelling (Q1954140) (← links)
- Model selection in linear mixed-effect models (Q2234730) (← links)
- Assessing prediction error at interpolation and extrapolation points (Q2286369) (← links)
- Conditional Akaike information criterion in the Fay-Herriot model (Q2360927) (← links)
- A unifying approach to the estimation of the conditional Akaike information in generalized linear mixed models (Q2441054) (← links)
- Identification of the variance components in the general two-variance linear model (Q2480015) (← links)
- Model selection in the presence of incidental parameters (Q2516318) (← links)
- On generalized degrees of freedom with application in linear mixed models selection (Q2631358) (← links)
- Variable selection using conditional AIC for linear mixed models with data-driven transformations (Q2677907) (← links)
- Predictive cross-validation for the choice of linear mixed-effects models with application to data from the swiss HIV cohort study (Q2893982) (← links)
- Degrees of freedom and model search (Q2950216) (← links)
- Generalized Linear Latent Variable Models with Flexible Distribution of Latent Variables (Q3145561) (← links)
- Adjusting economic estimates in business surveys (Q3183846) (← links)
- Determining the Effective Sample Size of a Parametric Prior (Q3506509) (← links)
- Modeling Longitudinal Spatial Periodontal Data: A Spatially Adaptive Model with Tools for Specifying Priors and Checking Fit (Q3530096) (← links)
- MODEL SELECTION FOR PENALIZED SPLINE SMOOTHING USING AKAIKE INFORMATION CRITERIA (Q3592381) (← links)
- Inequalities between expected marginal log-likelihoods, with implications for likelihood-based model complexity and comparison measures (Q4470640) (← links)
- On Testing an Unspecified Function Through a Linear Mixed Effects Model with Multiple Variance Components (Q4911936) (← links)
- Marginal ridge conceptual predictive model selection criterion in linear mixed models (Q5084006) (← links)
- Model selection via conditional conceptual predictive statistic under ridge regression in linear mixed models (Q5107316) (← links)
- Conditional conceptual predictive statistic for mixed model selection (Q5138020) (← links)
- Measuring the complexity of generalized linear hierarchical models (Q5421212) (← links)
- Generalized Additive Models for Location, Scale and Shape (Q5757776) (← links)
- Cross-Validation for Correlated Data (Q5885099) (← links)
- A random covariance model for bi‐level graphical modeling with application to resting‐state fMRI data (Q6055494) (← links)
- Criterion constrained Bayesian hierarchical models (Q6169915) (← links)
- Some models are useful, but how do we know which ones? Towards a unified Bayesian model taxonomy (Q6185714) (← links)
- The ridge prediction error sum of squares statistic in linear mixed models (Q6618817) (← links)
