QBRIX: a quantile-based approach to retinex

A quantile-based approach to system selection

We propose a quantile-based ranking and selection (R&S) procedure for comparing a finite set of stochastic systems via simulation. Our R&S procedure uses a quantile set of the simulated probability distribution of a performance characteristic of interest that best represents the most appropriate selection criterion as the basis for comparison. Since this quantile set may represent either the do...

Variational Approach to Retinex Theory

A Nonparametric Model-based Approach to Inference for Quantile Regression

In several regression applications, a different structural relationship might be anticipated for the higher or lower responses than the average responses. In such cases, quantile regression analysis can uncover important features that would likely be overlooked by traditional mean regression. We develop a Bayesian method for fully nonparametric model-based quantile regression. The approach invo...

A Quantile Regression Approach to Firm Growth

This paper explores the firm growth rate distribution in a Gibrat's Law context. The aim is to provide an empirical exploration of the determinants of firm growth. The work is novel in two respects. First, rather than limiting the analysis to focus on the conditional mean growth level, we investigate the complete shape of the distribution. Second, we show that the differences in the firm growth...

non-corrective approach to pronunciation

the aim of this study has been to find answers for the following questions: 1. what is the effect of immediate correction on students pronunciation errors? 2. what would be the effect of teaching the more rgular patterns of english pronunciation? 3. is there any significant difference between the two methods of dealing with pronuciation errore, i. e., correction and the teaching of the regular ...