Parametric statistical methods assume a specific model for the probability distribution of the observations. When non-robust methods are used, statistical inferences may be invalid if the assumed ...

This package provides a fast way to evaluate the pdf and cdf of a standardized multivariate normal distribution. Currently, it only contains code for the bivariate normal distribution. The ...

BACKGROUND: Forecasts for the future prevalence of cardiovascular disease and stroke are crucial to guide efforts to improve health outcomes across the life course for women. METHODS: Using historical ...

Background Metabolic dysfunction associated steatotic liver disease (MASLD), the most common chronic liver disease globally, may originate early in life. While maternal obesity is linked to offspring ...

Systematic analyses show that normative model performance strongly depends on sample size and covariate distributions, larger samples yield more stable fits, while misaligned covariates introduce ...

Background Invasive coronary function testing (CFT) is indicated in patients with refractory angina with non-obstructed coronary arteries (ANOCA). Despite this, questions remain regarding patient ...

Abstract: In prediction tasks, the single dendritic neuron models (DNMs) have achieved good results due to their inherent biological dendrite-like nonlinear calculation capabilities. Meanwhile, ...

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.

Abstract: This article investigates the nonlinear state estimation under heavy-tailed process and measurement noises (PAMNs), and the noises may be induced by sensor failures, measurement loss, ...

This paper develops a model to characterize the demand for domestic water based on its end users' usage habits. The use of individual residential appliances (bathroom sink, toilet, shower, bath, etc.) ...