Generalized Additive Models are statistical models in which the usual linear relationships between the response and predictor variables are replaced by non-linear 'smooths'. This paper discusses the ...

Sampling experiments indicate that the Durbin-Watson performs poorly in models with more than one lag of the dependent variable, a situation commonly considered in the literature. The experiments also ...

Applied Computational Psychiatry Lab, Mental Health Neuroscience Department, Division of Psychiatry and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Department of Imaging ...

Bodily functions rise and decline with age, and the brain is no exception. However, the exact trajectory of our brain ...

We will show, assuming a new anisotropic wavelike heat diffusion model due to a generalized Righi-Leduc effect ... of the temperature difference at the edge of the R disk between a rotating disk and ...

Objectives This study uses nationally representative survey data from the USA to estimate the relationship between a history of heart attack or stroke with the prevalence of mental health symptoms.

Our findings indicate that US adult baseline contact patterns show little variability over time after controlling for disease ...

LLMs’ “simulated reasoning” abilities are a “brittle mirage,” researchers find Chain-of-thought AI "degrades significantly" when asked to generalize beyond training.

Discover how the Gordon Growth Model calculates stock value using constant dividend growth, including key inputs and examples. It's ideal for stable dividend-paying firms.

New AI image generation tools are popping up all the time, but this new Nano-Banana image gen tool found on LMArena is starting to turn some heads.

Objective To estimate changes in healthcare spending in the US after implementation of the No Surprises Act (NSA) in 2022 ...