Pages that link to "Item:Q4455407"

The following pages link to On modelling mean-covariance structures in longitudinal studies (Q4455407):

Displaying 27 items.

• Bayesian modelling of the mean and covariance matrix in normal nonlinear models (Q3638594) (← links)
• (Q4468692) (← links)
• Regression models for covariance structures in longitudinal studies (Q4970699) (← links)
• Modelling conditional covariance in the linear mixed model (Q4970873) (← links)
• Variable selection in joint modelling of the mean and variance for hierarchical data (Q4971402) (← links)
• Two Cholesky-log-GARCH models for multivariate volatilities (Q4971416) (← links)
• A semiparametric approach to simultaneous covariance estimation for bivariate sparse longitudinal data (Q4979224) (← links)
• Flexible estimation of serial correlation in nonlinear mixed models (Q5123581) (← links)
• Modeling attendance at Spanish professional football league (Q5124838) (← links)
• Bayesian analysis of joint mean and covariance models for longitudinal data (Q5130547) (← links)
• Multiple-index varying-coefficient models for longitudinal data (Q5138681) (← links)
• (Q5149227) (← links)
• Joint mean–covariance model in generalized partially linear varying coefficient models for longitudinal data (Q5222400) (← links)
• Multi‐parameter regression survival modeling: An alternative to proportional hazards (Q5283331) (← links)
• Double Hierarchical Generalized Linear Models (With Discussion) (Q5757822) (← links)
• Regressograms and Mean-Covariance Models for Incomplete Longitudinal Data (Q5876895) (← links)
• Modeling the Cholesky factors of covariance matrices of multivariate longitudinal data (Q5964276) (← links)
• Robust probit linear mixed models for longitudinal binary data (Q6068836) (← links)
• D‐optimal designs of mean‐covariance models for longitudinal data (Q6091684) (← links)
• jmcm: a Python package for analyzing longitudinal data using joint mean-covariance models (Q6181892) (← links)
• Statistical inference of multi-state transition model for longitudinal data with measurement error and heterogeneity (Q6597457) (← links)
• High-dimensional covariance matrix estimation (Q6601084) (← links)
• Nonparametric covariance estimation with shrinkage toward stationary models (Q6601108) (← links)
• A multiparameter regression model for interval-censored survival data (Q6627391) (← links)
• Graphical models for mean and covariance of multivariate longitudinal data (Q6627998) (← links)
• Bayesian semi-parametric modeling of covariance matrices for multivariate longitudinal data (Q6628401) (← links)
• A semiparametric Bayesian approach for analyzing longitudinal data from multiple related groups (Q6633140) (← links)