logL.GP: negtive log-likelihood of Gaussian process

In COST: Copula-Based Semiparametric Models for Spatio-Temporal Data

Description

negtive log-likelihood of Gaussian process, with mean vector and variance vector obtained by the empirical version, and it is for parameter estimation in the correlation matrix

Usage

logL.GP(par,Y,s.ob)

Arguments

par	parameters in the copula function, will be obtained by minimizing the negtive log-likelihood
Y	the data set from observed locations, used for parameter estimation
s.ob	coordinates of observed locations

Value

the negative log-likelihood

Author(s)

Yanlin Tang and Huixia Judy Wang

References

Yanlin Tang, Huixia Judy Wang, Ying Sun, Amanda Hering. Copula-based semiparametric models for spatio-temporal data.

COST documentation built on May 2, 2019, 9:33 a.m.