new video loaded: Video Analysis of ICE Shooting Sheds Light on Contested Moments transcript Newly available videos and existing footage synchronized and assessed by The Times provides a ...

Commonly used linear regression focuses only on the effect on the mean value of the dependent variable and may not be useful in situations where relationships across the distribution are of interest.

Bitcoin remained closer to “oversold” during its latest all-time highs, according to the Mayer Multiple, which suggested a potential price target of $180,000. Bitcoin’s Mayer Multiple suggests that ...

Global crop yields are declining due to rising temperatures, water scarcity, and salinized soils. Wheat, rice, and maize suffer yield losses ranging from 50% to 80% under these stressors. With the ...

What role does credit allocation play in shaping economic performance in small, developing countries? While prior research shows that business credit tends to support growth and household credit may ...

Impact of declining renal function on multiple myeloma (MM) mortality in the U.S. (1999-2023): A regression analysis using the CDC WONDER database. This is an ASCO Meeting Abstract from the 2025 ASCO ...

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 ...

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 ...

Abstract: In decentralized systems like the Internet of Things (IoT) and cyber-physical networks, where data are distributed across multiple nodes, ensuring accurate and robust data analysis is ...

Abstract: Accurate and reliable load forecasting is essential for decision-making processes in the electric power industry. As the power industry transitions toward decarbonization, distributed energy ...