gp.condsim: Perform conditional simulation from a Gaussian process

In GPBayes: Tools for Gaussian Process Modeling in Uncertainty Quantification

Perform conditional simulation from a Gaussian process

Description

This function simulate from the Gaussian process model conditional on existing data (i.e., locations, observations). This is known as conditional simulation in geostatistics, which simulates realizations from the (posterior) predictive distribution of the process given the data.

Usage

gp.condsim(obj, XX, nsample = 1, seed = NULL)

Arguments

obj	an S4 object gp
XX	a matrix of new locations where conditional simulation is performed.
nsample	number of conditional simulations default at 1
seed	random generation seed default to be NULL.

Value

an array (vector or matrix) of conditional simulations

GPBayes documentation built on May 29, 2024, 7:30 a.m.