Asymptotic Normality of Kernel Type Density Estimators for Random Fields

István Fazekas; Alexey Chuprunov

doi:10.1007/s11203-004-8327-4

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Asymptotic Normality of Kernel Type Density Estimators for Random Fields

István Fazekas Alexey Chuprunov

Year: 2006 Journal: Statistical Inference for Stochastic Processes Vol: 9 (2)Pages: 161-178 Publisher: Springer Science+Business Media

DOI: 10.1007/s11203-004-8327-4

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Keywords:

Mathematics Estimator Central limit theorem Asymptotic distribution Multivariate kernel density estimation Random field Kernel (algebra) Covariance Kernel density estimation Local asymptotic normality Applied mathematics Type (biology) Limit (mathematics) Mixing (physics) Mathematical analysis Statistical physics Kernel method Statistics Discrete mathematics Variable kernel density estimation

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Integrated Water Resources Management

Physical Sciences → Environmental Science → Water Science and Technology

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Asymptotic Normality of Kernel Type Density Estimators for Random Fields

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