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 shows “heat” with price on the verge of an “acceleration phase,” echoing ...

In this paper, regression fitting on a quantile-quantile curve is used to compare the distribution of each site to a theoretical and expected distribution. This is shown to pronounce site to site ...

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 ...

Objective We performed a systematic review, meta-analysis and meta-regression to determine if dietary protein supplementation augments resistance exercise training (RET)-induced gains in muscle mass ...

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 ...