Quantile regressionSemi-functional partial linear model is a flexible model in which a scalar response is related to both functional covariate and scalar covariates. We propose a quantile estimation of this model as an alternative to the least square approach. We also extend the proposed method to...
Bayesian quantile regressionPartial linear single-index modelPower consumption modelReversible jump Markov Chain Monte CarloVariable selectionWe advocate linear regression by modeling the error term through a finite mixture of asymmetric Laplace distributions (ALDs). The model expands the flexibility of ...
Regression is a powerful tool in statistical modeling suited for qualitative and quantitative analysis and widely used in forecasting and prediction. The partial least squares modeling (PLSM) is one of the regression tools used in statistical analysis. There are many fields in which PLSM has been u...
Functional linear quantile regressionPQR basisPartial quantile covarianceSIMPQRWe propose a prediction procedure for the functional linear quantile regression model by using partial quantile covariance techniques and develop a simple partial quantile regression (SIMPQR) algorithm to efficiently extract partial ...
Partial functional linear quantile regression. Sci China Math. 2014;57(12):2589-2608.Tang, Q.G. and Cheng, L.S. (2014). Partial Functional Linear Quantile Regression. Science China Mathematics, 57 (12): 2589-2608.Tang, Q. and Cheng, L. (2014). Partial functional linear quantile ...
functional principal component analysisheavy-tailed distributionpartial functional linear regressionIn this article, we propose a novel estimator of extreme conditional quantiles in partial functional linear regression models with heavy-tailed distributions. The conventional quantile regression estimators are often...
Partial functional linear quantile regression. Science China Mathematics 57(12), 2589-2608.Tang, Q. and Cheng, L. (2014). Partial functional linear quantile regression. Science China Mathematics 57(12), 2589-2608.Q. Tang, L. Cheng, Partial functional linear quantile regression, Sci. China ...
Quantile regressionSemi-functional partial linear model is a flexible model in which a scalar response is related to both functional covariate and scalar covariates. We propose a quantile estimation of this model as an alternative to the least square approach. We also extend the proposed method to...
In this paper, we consider a novel estimation for partial functional linear regression models. The functional principal component analysis method is employed to estimate the slope function and the functional predictive variable, respectively. An efficient estimation based on principal component basis ...
Cheng, Partial functional linear quantile regression, Sci. China Math. 57 (12) (2014) 2589-2608.Tang, Q.G. and Cheng, L.S. (2014). Partial Functional Linear Quantile Regression. Science China Mathematics, 57 (12): 2589-2608.Tang, Q. and Cheng, L. (2014). Partial functional linear ...