Pages that link to "Item:Q1654263"

The following pages link to Bivariate copula additive models for location, scale and shape (Q1654263):

Displaying 23 items.

• SemiParBIVProbit (Q20179) (← links)
• Copula based generalized additive models for location, scale and shape with non-random sample selection (Q1663102) (← links)
• A joint regression modeling framework for analyzing bivariate binary data in \(\mathsf{R}\) (Q1697000) (← links)
• Correcting for sample selection bias in Bayesian distributional regression models (Q2076142) (← links)
• Generalised joint regression for count data: a penalty extension for competitive settings (Q2209714) (← links)
• Modular regression -- a Lego system for building structured additive distributional regression models with tensor product interactions (Q2273140) (← links)
• A trivariate additive regression model with arbitrary link functions and varying correlation matrix (Q2317255) (← links)
• Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach (Q2628886) (← links)
• Generalized Additive Models for Pair-Copula Constructions (Q3391152) (← links)
• (Q4395392) (← links)
• Regression in a bivariate copula model (Q4506031) (← links)
• Bivariate Location–Scale Models for Regression Analysis, with Applications to Lifetime Data (Q4673566) (← links)
• Copula Link-Based Additive Models for Right-Censored Event Time Data (Q5130629) (← links)
• Generalized Additive Models for Location, Scale and Shape (Q5757776) (← links)
• Boosting Distributional Copula Regression (Q6079714) (← links)
• Introducing Lasso-type penalisation to generalised joint regression modelling for count data (Q6107410) (← links)
• Multivariate reference and tolerance regions based on conditional transformation models: application to glycemic markers (Q6595092) (← links)
• Analysis of paediatric visual acuity using Bayesian copula models with sinh-arcsinh marginal densities (Q6624716) (← links)
• Mixed binary-continuous copula regression models with application to adverse birth outcomes (Q6625567) (← links)
• Copula selection models for non-Gaussian outcomes that are missing not at random (Q6625575) (← links)
• Developing prediction models to estimate the risk of two survival outcomes both occurring: a comparison of techniques (Q6626839) (← links)
• Assessing the relationship between markers of glycemic control through flexible copula regression models (Q6627239) (← links)
• Interactively visualizing distributional regression models with distreg.vis (Q6665015) (← links)