kernel regression

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kernel density estimation poisson regression quantile regression binary regression nonlinear regression ordinary least squares estimating equations estimation theory kernel smoother semiparametric regression conditional variance kernel embedding of distributions regular conditional probability random effects model maximum likelihood estimation best linear unbiased prediction

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