Bayesian Variable Selection in Linear Regression
Abstract This article is concerned with the selection of subsets of predictor variables in a linear regression model for the prediction of a dependent variable. It is based on a...
Abstract This article is concerned with the selection of subsets of predictor variables in a linear regression model for the prediction of a dependent variable. It is based on a...
Abstract This article is concerned with prediction of a function y(t) over a (multidimensional) domain T, given the function values at a set of "sites" {t (1), t (2), …, t (n)} ...
Many scientific phenomena are now investigated by complex computer models or codes. Given the input values, the code produces one or more outputs via a complex mathematical mode...
Abstract This article is concerned with the problem of predicting a deterministic response function yo over a multidimensional domain T, given values of yo and all of its first ...
The work of Currin et al. and others in developing fast predictive approximations'' of computer models is extended for the case in which derivatives of the output variable of in...
Many scientific phenomena are now investigated by complex computer models or codes. A computer experiment is a number of runs of the code with various inputs. A feature of many ...
h-index: Number of publications with at least h citations each.