Bayesian methods for non-parametric quantile regression have been considered with multiple continuous predictors ranging values in the unit interval. Two methods are proposed based on assuming that either the q
2.3 Computation with array regression There are two ways to perform the calculations for fitting the quantile sheet given the weights. One is to repeat the response vector y J -times in order to form a vector y∗ of length n J . Parallel to it the columns of the weight matrix V with...
(2011). Criminal Specialization Revisited: A Simultaneous Quantile Regression Approach. American Journal of Criminal Justice 36:73-92.DeLisi, Matt, Kevin M. Beaver, Kevin A. Wright, John Paul Wright, Michael G. Vaughn, and Chad R. Trulson. 2011. ``Criminal Specialization Revisited: A ...
For a theoretical result, we prove that the proposed the quantile regression function estimators achieve the minimax rate under regularity conditions.doi:10.1016/j.csda.2018.10.005Jhong, Jae-HwanKoo, Ja-YongElsevier ScienceComputational Statistics & Data Analysis...
Quantile regression is a robust and flexible analysis method, and can construct multilevel models, e.g., the median and the first and third quartiles. To make the most of the quantile regression, existing papers employed spline regression models as generalizations of polynomial regression models, ...
QUANTILE regressionFARMERSINDIAN economyHOUSEHOLDS & economicsAGRICULTURAL technologyThis paper focuses on the contribution of farm income component of farmers' income and traces its determinants by Situation Assessment Survey of Agricultural Households 2012-13. This study analyses ...
Parameter Estimates from Simultaneous Quantile Regression on Body Mass Index.Timothy R. WojanKaren S. Hamrick
How are ad scepticism levels of young consumers shaped? Testing with simultaneous quantile regression analysisdoi:10.15295/bmij.v11i1.2172Kymalolu, AslhanBusiness & Management Studies: An International Journal (BMIJ)
A change may be declared if it: (a) exceeds a threshold level, and/or (b) is determined to be statistically significant (e.g. regression slope different from zero), perhaps after (c) that significance level has been corrected for multiple testing. These criteria are not often considered ...
A change may be declared if it: (a) exceeds a threshold level, and/or (b) is determined to be statistically significant (e.g. regression slope different from zero), perhaps after (c) that significance level has been corrected for multiple testing. These criteria are not often considered ...