The winding of stationary Gaussian processes

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1432-2064

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: The winding of stationary Gaussian processes ; day:24 ; month:11 ; year:2017 ; pages:1-32
Probability theory and related fields ; (24.11.2017), 1-32

Classification: Mathematik

Creator: Buckley, Jeremiah

Contributor: Feldheim, Naomi
SpringerLink (Online service)

DOI: 10.1007/s00440-017-0816-7

URN: urn:nbn:de:1111-201801263316

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:02 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Buckley, Jeremiah
Feldheim, Naomi
SpringerLink (Online service)

Other Objects (12)

On double extremes of Gaussian stationary processes

Exploring substitution random functions composed of stationary multi-Gaussian processes

Exact Gaussian processes for massive datasets via non-stationary sparsity-discovering kernels

Stochastic modeling of stationary scalar Gaussian processes in continuous time from autocorrelation data

Noncommutative stationary processes

Gaussian random processes

Oscillating Gaussian processes

POLYNOMIAL-GAUSSIAN VECTORS AND POLYNOMIAL-GAUSSIAN PROCESSES

A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes

Lectures on Gaussian processes

zweidimensionales bewegtes Bild

Gaussian processes: An Introduction

Gaussian Processes for Prognostics

On double extremes of Gaussian stationary processes

Exploring substitution random functions composed of stationary multi-Gaussian processes

Exact Gaussian processes for massive datasets via non-stationary sparsity-discovering kernels

Stochastic modeling of stationary scalar Gaussian processes in continuous time from autocorrelation data

Noncommutative stationary processes

Gaussian random processes

Oscillating Gaussian processes

POLYNOMIAL-GAUSSIAN VECTORS AND POLYNOMIAL-GAUSSIAN PROCESSES

A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes

Lectures on Gaussian processes

zweidimensionales bewegtes Bild

Gaussian processes: An Introduction

Gaussian Processes for Prognostics

On double extremes of Gaussian stationary processes

Exploring substitution random functions composed of stationary multi-Gaussian processes

Exact Gaussian processes for massive datasets via non-stationary sparsity-discovering kernels

Stochastic modeling of stationary scalar Gaussian processes in continuous time from autocorrelation data

Noncommutative stationary processes

Gaussian random processes

Oscillating Gaussian processes

POLYNOMIAL-GAUSSIAN VECTORS AND POLYNOMIAL-GAUSSIAN PROCESSES

A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes

Lectures on Gaussian processes

zweidimensionales bewegtes Bild

Gaussian processes: An Introduction

Gaussian Processes for Prognostics

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

The winding of stationary Gaussian processes

Object Details

References and Relationships

Classification and Topics

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

On double extremes of Gaussian stationary processes

Exploring substitution random functions composed of stationary multi-Gaussian processes

Exact Gaussian processes for massive datasets via non-stationary sparsity-discovering kernels

Stochastic modeling of stationary scalar Gaussian processes in continuous time from autocorrelation data

Noncommutative stationary processes

Gaussian random processes

Oscillating Gaussian processes

POLYNOMIAL-GAUSSIAN VECTORS AND POLYNOMIAL-GAUSSIAN PROCESSES

A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes

Lectures on Gaussian processes

Gaussian processes: An Introduction

Gaussian Processes for Prognostics

On double extremes of Gaussian stationary processes

Exploring substitution random functions composed of stationary multi-Gaussian processes

Exact Gaussian processes for massive datasets via non-stationary sparsity-discovering kernels

Stochastic modeling of stationary scalar Gaussian processes in continuous time from autocorrelation data

Noncommutative stationary processes

Gaussian random processes

Oscillating Gaussian processes

POLYNOMIAL-GAUSSIAN VECTORS AND POLYNOMIAL-GAUSSIAN PROCESSES

A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes

Lectures on Gaussian processes

Gaussian processes: An Introduction

Gaussian Processes for Prognostics

On double extremes of Gaussian stationary processes

Exploring substitution random functions composed of stationary multi-Gaussian processes

Exact Gaussian processes for massive datasets via non-stationary sparsity-discovering kernels

Stochastic modeling of stationary scalar Gaussian processes in continuous time from autocorrelation data

Noncommutative stationary processes

Gaussian random processes

Oscillating Gaussian processes

POLYNOMIAL-GAUSSIAN VECTORS AND POLYNOMIAL-GAUSSIAN PROCESSES

A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes

Lectures on Gaussian processes

Gaussian processes: An Introduction

Gaussian Processes for Prognostics

Related objects

Reset password