Pages that link to "Item:Q3181919"

The following pages link to A note on conditional AIC for linear mixed-effects models (Q3181919):

Displaying 45 items.

• Model selection in linear mixed models (Q252741) (← links)
• Bayesian model choice in cumulative link ordinal regression models (Q273567) (← links)
• Frequentist model averaging for linear mixed-effects models (Q372223) (← links)
• Information based model selection criteria for generalized linear mixed models with unknown variance component parameters (Q391541) (← links)
• Conditional Akaike information criterion for generalized linear mixed models (Q425668) (← links)
• Effective degrees of freedom and its application to conditional AIC for linear mixed-effects models with correlated error structures (Q458645) (← links)
• Conditional and unconditional methods for selecting variables in linear mixed models (Q631631) (← links)
• Parametric bootstrap methods for bias correction in linear mixed models (Q765823) (← links)
• Conditional information criteria for selecting variables in linear mixed models (Q990882) (← links)
• Choice of generalized linear mixed models using predictive crossvalidation (Q1623490) (← links)
• Information methods for model selection in linear mixed effects models with application to HCV data (Q1658322) (← links)
• A scalable and efficient covariate selection criterion for mixed effects regression models with unknown random effects structure (Q1662050) (← links)
• Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals (Q1729810) (← links)
• Variable selection in linear mixed effects models (Q1940766) (← links)
• A note on conditional Akaike information for Poisson regression with random effects (Q1950802) (← links)
• Longitudinal functional principal component analysis (Q1952091) (← links)
• Modified conditional AIC in linear mixed models (Q2015054) (← links)
• Model averaging for linear mixed models via augmented Lagrangian (Q2072389) (← links)
• Model selection in linear mixed-effect models (Q2234730) (← links)
• Assessing prediction error at interpolation and extrapolation points (Q2286369) (← links)
• Non-concave penalization in linear mixed-effect models and regularized selection of fixed effects (Q2316730) (← links)
• Comparing and selecting spatial predictors using local criteria (Q2348712) (← 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)
• A note on BIC in mixed-effects models (Q2452101) (← 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)
• Selection strategy for covariance structure of random effects in linear mixed-effects models (Q2791840) (← links)
• Conditional Akaike information criteria for a class of Poisson mixture models with random effects (Q2835320) (← links)
• Predictive cross-validation for the choice of linear mixed-effects models with application to data from the swiss HIV cohort study (Q2893982) (← links)
• Maximum Likelihood Estimation of Long-Term HIV Dynamic Models and Antiviral Response (Q3008884) (← links)
• Fixed and Random Effects Selection in Mixed Effects Models (Q3013979) (← links)
• On the behaviour of marginal and conditional AIC in linear mixed models (Q3067007) (← links)
• Conditional Akaike information under generalized linear and proportional hazards mixed models (Q3174196) (← links)
• Bias‐reduced marginal Akaike information criteria based on a Monte Carlo method for linear mixed‐effects models (Q4629274) (← links)
• A note on model selection using information criteria for general linear models estimated using REML (Q5234443) (← links)
• Modeling heterogeneity for count data: A study of maternal mortality in health facilities in Mozambique (Q5410263) (← links)
• Conditional Akaike information for mixed-effects models (Q5479496) (← links)
• Cross-Validation for Correlated Data (Q5885099) (← links)
• Selection of linear mixed‐effects models for clustered data (Q6073428) (← links)
• Functional Mixed Effects Clustering with Application to Longitudinal Urologic Chronic Pelvic Pain Syndrome Symptom Data (Q6110688) (← links)
• Huber loss meets spatial autoregressive model: a robust variable selection method with prior information (Q6537143) (← links)
• Bayesian learners in gradient boosting for linear mixed models (Q6590279) (← links)
• Inference on variance components near boundary in linear mixed effect models (Q6600378) (← links)
• Impact of model misspecification in shared frailty survival models (Q6628710) (← links)