Maximum nonparametric kernel likelihood estimation for multiplicative linear regression models

Jun Zhang; Bingqing Lin; Yiping Yang

doi:10.1007/s00362-021-01258-9

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Maximum nonparametric kernel likelihood estimation for multiplicative linear regression models

Jun Zhang Bingqing Lin Yiping Yang

Year: 2021 Journal: Statistical Papers Vol: 63 (3)Pages: 885-918 Publisher: Springer Science+Business Media

DOI: 10.1007/s00362-021-01258-9

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Keywords:

Mathematics Estimator Statistics Variable kernel density estimation Kernel (algebra) Kernel smoother Kernel density estimation Nonparametric statistics Kernel regression Semiparametric regression Nonparametric regression Multiplicative function Multivariate kernel density estimation Applied mathematics Kernel method Computer science Artificial intelligence Support vector machine Radial basis function kernel

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Maximum nonparametric kernel likelihood estimation for multiplicative linear regression models

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