Abstract: This paper introduces a novel Poisson-unit-Weibull (PUW) distribution, which is defined on a unit domain and characterized by three parameters. The PUW distribution is capable of ...

Abstract: The rise of internet-of-things (IoT) systems has led to the generation of vast and high-dimensional data across distributed edge devices, often requiring sparse modeling techniques to manage ...

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...

Exploring the role of ICT adoption technologies and renewable energy consumption in achieving a sustainable environment in the United States. Information and Communication Technology (ICT) is a factor ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...

The goal of a machine learning regression problem is to predict a single numeric value. Quantile regression is a variation where you are concerned with under-prediction or over-prediction. I'll phrase ...

When I generate the residual plots using the DHARMa package, the quantile regression curves do not appear in the residual vs. predicted plot (right plot). Instead, I receive warnings stating that the ...

ABSTRACT: As extremely important methods, Lp regression methods have attracted the attention of either theoretical or empirical researchers all over the world. As special cases of that, quantile and ...

ABSTRACT: As extremely important methods, Lp regression methods have attracted the attention of either theoretical or empirical researchers all over the world. As special cases of that, quantile and ...

A Bitcoin researcher says a quasi-exponential decay trend could even see BTC's price going as high as $300,000 in 2025. After dropping 3.45% on Sept. 30, Bitcoin (BTC) missed out on a monthly bullish ...