ABSTRACT: Variable selection using penalized estimation methods in quantile regression models is an important step in screening for relevant covariates. In this paper, we present a one-step estimation ...

ABSTRACT: Variable selection using penalized estimation methods in quantile regression models is an important step in screening for relevant covariates. In this paper, we present a one-step estimation ...

Fuzzy regression models extend traditional statistical regression by integrating fuzzy set theory to better handle imprecision and uncertainty inherent in many real-world data sets. These models ...

Based on the compounding mechanism, a unique discrete probability distribution is investigated in this paper. The Poisson distribution is mixed with a lifetime model called as the Fav-Jerry model. The ...

Birth weight (BW) is a key indicator of a newborn’s health, survival, and development. It is associated with the risk of childhood mortality and is also related to health, physical growth, emotional ...

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 ...

This new narrative is conciliatory, but only thinly linked to the presented statistical evidence. The existence and location ($100,000) of a threshold was not estimated in Killingsworth’s data but was ...

Bitcoin’s (BTC) strong weekly return of 9.84% exhibited a clear bullish breakout above the descending trendline pattern, which has been active since March 2024. In light of that, Sina, the co-founder ...

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 ...

Abstract: The battery thermal management of electric vehicles can be improved using neural networks predicting quantile sequences of the battery temperature. This work extends a method for the ...