I-prior

Additive models with interactions have been considered extensively in the literature, using estimation methods such as splines or …

This is an overview of the R package iprior, which implements a unified methodology for fitting parametric and nonparametric regression …

In a regression setting, we define an I-prior as a Gaussian process prior on the regression function with covariance kernel equal to …

This is an overview of a unified methodology for fitting parametric and nonparametric regression models, including additive models, …

An extension of the I-prior methodology to binary response data is explored. Starting from a latent variable approach, it is assumed …

Bayesian Variable Selection for Linear Models using I-priors in R.

An R package for I-prior regression.

Regression modelling using priors with Fisher information covariance kernels (I-priors).

In a previous work, I showed that the use of I-priors in various linear models can be considered as a solution to the over-fitting …