Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...

In the wake of a recent outbreak of tuberculosis (TB) and latent TB cases at a local San Francisco high school, IGHS's Priya ...

Dependent variables change based on other inputs in financial models, affecting investment outcomes. Independent variables like earnings affect dependent variables, influencing metrics like P/E ratios ...

In the following the transients: The ports whe.port_a1 and whe.port_b1 are connected by means of two branches in parallel, as shown in the following diagram: along the parallel, only the heat ...

ABSTRACT: Purpose: This study examines how work-life balance (WLB) practices affect employees’ work-life balance satisfaction (WLBS) and overall job satisfaction (JS), grounded in social exchange ...

Abstract: In the past years, latent variable models have played an important role in various industrial AI systems, among which quality prediction is one of the most representative applications.

Since its emergence, chemometrics has been based essentially on factorial methods, whose aim is to extract meaningful directions in the space of the measured variables, called latent variables, or ...

Abstract: Inspired by the idea of deep learning, several latent variable models have been successfully extended to the deep forms for industrial data analytics. Compared to traditional deep neural ...

Multiple latent variables generate avalanche scaling at shorter timescales than a single latent variable. Simulated network is N = 1024 neurons. Other parameters used for simulations for this figure ...

This paper provides a simple example of a neural-like system that displays signatures of criticality, but not for any deep reason; it's just because a population of neurons are driven (independently!) ...