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- Gaussian_process abstract "In probability theory and statistics, a Gaussian process is a stochastic process whose realizations consist of random values associated with every point in a range of times (or of space) such that each such random variable has a normal distribution. Moreover, every finite collection of those random variables has a multivariate normal distribution. The concept of Gaussian processes is named after Carl Friedrich Gauss because it is based on the notion of the normal distribution which is often called the Gaussian distribution. In fact, one way of thinking of a Gaussian process is as an infinite-dimensional generalization of the multivariate normal distribution.Gaussian processes are important in statistical modelling because of properties inherited from the normal. For example, if a random process is modelled as a Gaussian process, the distributions of various derived quantities can be obtained explicitly. Such quantities include: the average value of the process over a range of times; the error in estimating the average using sample values at a small set of times.".
- Gaussian_process wikiPageExternalLink 917_Rapport.pdf.
- Gaussian_process wikiPageExternalLink epsrcws08_rasmussen_lgp.
- Gaussian_process wikiPageExternalLink gpip06_mackay_gpb.
- Gaussian_process wikiPageExternalLink mlss07_rasmussen_bigp.
- Gaussian_process wikiPageExternalLink www.GaussianProcess.com.
- Gaussian_process wikiPageExternalLink www.GaussianProcess.org.
- Gaussian_process wikiPageExternalLink GPtutorial.pdf.
- Gaussian_process wikiPageID "302944".
- Gaussian_process wikiPageRevisionID "606063742".
- Gaussian_process hasPhotoCollection Gaussian_process.
- Gaussian_process subject Category:Kernel_methods_for_machine_learning.
- Gaussian_process subject Category:Non-parametric_Bayesian_methods.
- Gaussian_process subject Category:Stochastic_processes.
- Gaussian_process type Ability105616246.
- Gaussian_process type Abstraction100002137.
- Gaussian_process type Cognition100023271.
- Gaussian_process type Concept105835747.
- Gaussian_process type Content105809192.
- Gaussian_process type Hypothesis105888929.
- Gaussian_process type Idea105833840.
- Gaussian_process type KernelMethodsForMachineLearning.
- Gaussian_process type Know-how105616786.
- Gaussian_process type Method105660268.
- Gaussian_process type Model105890249.
- Gaussian_process type PsychologicalFeature100023100.
- Gaussian_process type StochasticProcess113561896.
- Gaussian_process type StochasticProcesses.
- Gaussian_process comment "In probability theory and statistics, a Gaussian process is a stochastic process whose realizations consist of random values associated with every point in a range of times (or of space) such that each such random variable has a normal distribution. Moreover, every finite collection of those random variables has a multivariate normal distribution.".
- Gaussian_process label "Gaussian process".
- Gaussian_process label "Gauß-Prozess".
- Gaussian_process label "Proces gaussowski".
- Gaussian_process label "Proceso de Gauss".
- Gaussian_process label "Processo gaussiano".
- Gaussian_process label "Processus de Gauss".
- Gaussian_process label "Гауссовский процесс".
- Gaussian_process label "ガウス過程".
- Gaussian_process sameAs Gauß-Prozess.
- Gaussian_process sameAs Proceso_de_Gauss.
- Gaussian_process sameAs Processus_de_Gauss.
- Gaussian_process sameAs Processo_gaussiano.
- Gaussian_process sameAs ガウス過程.
- Gaussian_process sameAs Proces_gaussowski.
- Gaussian_process sameAs m.01s3p6.
- Gaussian_process sameAs Q1496376.
- Gaussian_process sameAs Q1496376.
- Gaussian_process sameAs Gaussian_process.
- Gaussian_process wasDerivedFrom Gaussian_process?oldid=606063742.
- Gaussian_process isPrimaryTopicOf Gaussian_process.