Using a quantile regression model as both a robust benchmark and robustification model, we remedy this drawback by using long memory models and their hybrid versions in 24 hour ahead irradiance ...

CORAL (COnsistent RAnk Logits) and CORN (Conditional Ordinal Regression for Neural networks) are methods for ordinal regression with deep neural networks, which address the rank inconsistency issue of ...

Bitcoin enters a breakout zone that historically has been followed by sustained explosive rallies. The Bitcoin Quantile Model ...

Correspondence to: Dr R McNamee Biostatistics Group, Division of Epidemiology and Health Sciences, Faculty of Medical and Human Sciences, The University of Manchester, Oxford Road, Manchester M13 9PT, ...

The final, formatted version of the article will be published soon. As one of the important statistical methods, quantile regression(QR) extends traditional regression analysis. In QR, various ...

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European ...

This rebuttal firmly rejects the premise that repealing the Trinidad and Tobago Revenue Authority (TTRA) risks “derailing” tax system reform. The argument advanced by Dr Marlene Attzs is ...

Abstract: In this paper, we present new algorithms for dynamically computing quantiles of a relation subject to insert as well as delete operations. At the core of our algorithms lies a small-space ...

The measures, part of the U.K's new planning bill, are meant to make it easier for developers to build new homes, roads, railways or pylons — but could fall afoul of “non-regression” clauses signed by ...

thereby extending the Quantile Regression to a Quantile-on-Quantile Regression. Based on historical monthly data covering the period April 1994~September 2015, it was shown that there is substantial ...