Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

For functional regression models with functional responses, we propose a nonparametric random-effects model using Gaussian process priors. The proposed model captures the heterogeneity nonlinearly and ...

This is a preview. Log in through your library . Abstract The Cox regression model for censored survival data specifies that covariates have a proportional effect on the hazard function of the ...