2019Cambridge University Press eBooksRequires access

Gaussian Fields

Houman Owhadi, Clint Scovel

Open publisher page 0 citations

Abstract

The purpose of this chapter is to introduce the canonical Gaussian field defined by the energy norm of the operator, which will play a central role in the interplay among the results of the previous chapters, Gaussian process regression, and game theory. The chapter begins with a presentation of basic definitions and results related to Gaussian random variables, Gaussian vectors, Gaussian spaces, Gaussian conditioning, Gaussian processes, Gaussian measures, and Gaussian fields.

About this research paper

What this paper is about

The purpose of this chapter is to introduce the canonical Gaussian field defined by the energy norm of the operator, which will play a central role in the interplay among the results of the previous chapters, Gaussian process regression, and game theory. The chapter begins with a presentation of basic definitions and results related to Gaussian random variables, Gaussian vectors, Gaussian spaces, Gaussian conditioning, Gaussian processes, Gaussian measures, and Gaussian fields.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The purpose of this chapter is to introduce the canonical Gaussian field defined by the energy norm of the operator, which will play a central role in the interplay among the results of the previous chapters, Gaussian process regression, and game theory. The chapter begins with a presentation of basic definitions and results related to Gaussian random variables, Gaussian vectors, Gaussian spaces, Gaussian conditioning, Gaussian processes, Gaussian measures, and Gaussian fields.

Key concepts: Gaussian random field, Gaussian, Gaussian process, Gaussian function, Mathematics, Gaussian filter, Statistical physics, Applied mathematics

Related papers

Back to paper searchBrowse research topicsOriginal source
Gaussian Fields — Research Paper | ScholarLens