Quantile regression models which can track the relationship of predictive variables and the response variable in specific quantiles are especially useful in applications when extreme quantiles instead of the center of the distribution are interest...
Quantile regression models which can track the relationship of predictive variables and the response variable in specific quantiles are especially useful in applications when extreme quantiles instead of the center of the distribution are interest...
The capital asset pricing model (CAPM) and the arbitrage asset pricingtheory (APT) have been the cornerstone in theoretical and empirical finance for the recent few decades. The classical CAPM usually assumes a simple and stable linear relationshi...
The capital asset pricing model (CAPM) and the arbitrage asset pricingtheory (APT) have been the cornerstone in theoretical and empirical finance for the recent few decades. The classical CAPM usually assumes a simple and stable linear relationshi...
In this paper, a L2 type nonparametric test is developed to test a specific nonlinear parametric regression model with near-integrated regressors. The asymptotic distributions of the proposed test statistic under both null and alternative hypothes...
In this paper, a L2 type nonparametric test is developed to test a specific nonlinear parametric regression model with near-integrated regressors. The asymptotic distributions of the proposed test statistic under both null and alternative hypothes...
In this paper, a L2 type nonparametric test is developed to test a specific nonlinear parametric regression model with near-integrated regressors. The asymptotic distributions of the proposed test statistic under both null and alternative hypothes...
Variable selection with a non-concave penalty function has become popular in recent years, since it has ability to select significant variables and to estimate unknown regression coefficients simultaneously. In this dissertation, I consider variab...
Variable selection with a non-concave penalty function has become popular in recent years, since it has ability to select significant variables and to estimate unknown regression coefficients simultaneously. In this dissertation, I consider variab...
Variable selection with a non-concave penalty function has become popular in recent years, since it has ability to select significant variables and to estimate unknown regression coefficients simultaneously. In this dissertation, I consider variab...
