AbstractIntrinsic Gaussian random fields generated by conditional autoregressive models are considered. A spectral approximation to the log-likelihood function of an intrinsic random field was given by Künsch. Here a rigorous treatment is given of the comparison between the exact and spectral log-likelihood functions as the domain of observations increases
In this article we discuss a generalization of the Whittle likelihood approximation from stationary ...
In this article we discuss a generalization of the Whittle likelihood approximation from stationary ...
[eng] Context: Two-point correlation functions are used throughout cosmology as a measure for the st...
Intrinsic Gaussian random fields generated by conditional autoregressive models are considered. A sp...
AbstractIntrinsic Gaussian random fields generated by conditional autoregressive models are consider...
In this paper we discuss how a Gaussian random field with Matérn covariance function can repre...
In this paper we discuss how a Gaussian random field with Matérn covariance function can repre...
In this paper we discuss how a Gaussian random field with Matérn covariance function can repre...
In this paper we discuss how a Gaussian random field with Matérn covariance function can repre...
In this paper we discuss how a Gaussian random field with Matérn covariance function can repre...
In this paper we discuss how a Gaussian random field with Matérn covariance function can repre...
Problems of uncertainty quantification usually involve large number realiza-tions of a stationary sp...
Context. Two-point correlation functions are used throughout cosmology as a measure for the statisti...
Context. Whenever correlation functions are used for inference about cosmological paramete...
Context: Two-point correlation functions are used throughout cosmology as a measure for the statisti...
In this article we discuss a generalization of the Whittle likelihood approximation from stationary ...
In this article we discuss a generalization of the Whittle likelihood approximation from stationary ...
[eng] Context: Two-point correlation functions are used throughout cosmology as a measure for the st...
Intrinsic Gaussian random fields generated by conditional autoregressive models are considered. A sp...
AbstractIntrinsic Gaussian random fields generated by conditional autoregressive models are consider...
In this paper we discuss how a Gaussian random field with Matérn covariance function can repre...
In this paper we discuss how a Gaussian random field with Matérn covariance function can repre...
In this paper we discuss how a Gaussian random field with Matérn covariance function can repre...
In this paper we discuss how a Gaussian random field with Matérn covariance function can repre...
In this paper we discuss how a Gaussian random field with Matérn covariance function can repre...
In this paper we discuss how a Gaussian random field with Matérn covariance function can repre...
Problems of uncertainty quantification usually involve large number realiza-tions of a stationary sp...
Context. Two-point correlation functions are used throughout cosmology as a measure for the statisti...
Context. Whenever correlation functions are used for inference about cosmological paramete...
Context: Two-point correlation functions are used throughout cosmology as a measure for the statisti...
In this article we discuss a generalization of the Whittle likelihood approximation from stationary ...
In this article we discuss a generalization of the Whittle likelihood approximation from stationary ...
[eng] Context: Two-point correlation functions are used throughout cosmology as a measure for the st...