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Root-N-Consistent Semiparametric Regression
Econometrica, 1988Summary: One type of semiparametric regression on an \({\mathcal R}\) \(p\times {\mathcal R}\) q-valued random variable (X,Z) is \(\beta 'X+\theta (Z)\), where \(\beta\) and \(\theta\) (Z) are an unknown slope coefficient vector and function, and X is neither wholly dependent on Z nor necessarily independent of it.
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Semiparametric regression in Stata [PDF]
, 2013 The boxplot is probably the most commonly used tool to represent the distribution of the data and identify atypical observations in a univariate dataset. The problem with the standard boxplot is that as soon as asymmetry or tail heaviness appears, the percentage of values identified as atypical becomes excessive.
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Bayesian Semiparametric Seemingly Unrelated Regression
2002Parametric seemingly unrelated regression (SUR) models are a common tool for multivariate regression analysis when error variables are reasonably correlated.
Stefan Lang 0003 +2 more
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A useful semiparametric regression for climatology
Communications in Statistics - Simulation and Computation, 2022J. C. S. Vasconcelos +4 more
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Semiparametric Regression with R
Journal of the American Statistical Association, 2022Zixiao Wang, Yi Feng, Lin Liu
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Efficient semiparametric copula estimation of regression models with endogeneity
Econometric Reviews, 2022Mike Tsionas, Kien C Tran
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Panel semiparametric quantile regression neural network for electricity consumption forecasting
Ecological Informatics, 2022Xingcai Zhou, Jiangyan Wang
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Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach
Journal of the American Statistical Association, 2012Weixin Yao, Mian Huang
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