Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Abstract: Complex software systems typically involve features like time, concurrency and probability, where probabilistic computations play an increasing role. It is challenging to formalize languages ...

Variable pay refers to a more combined payroll formula than salary or hourly pay, such as the number of sales per month, a fixed amount per client or a percent of business earned. The utilization of ...

Probability theory is indispensable in computer science: It is at the core of artificial intelligence and machine learning, which require decision making under uncertainty. It is integral to CS theory ...

I have been studying planetary defense, particularly being part of past, ongoing, and future small body missions. I was part of the NASA/DART mission. I am currently part of the NASA/Lucy mission and ...

Neural trajectories encoding choice and reversal probability variables. (A) Neural trajectories of PFC (top) and RNN (bottom) obtained by projecting population activity onto task vectors encoding ...

Objectives To (1) understand what behaviours, beliefs, demographics and structural factors predict US adults’ intention to get a COVID-19 vaccination, (2) identify segments of the population ...

Life is uncertain. None of us know what is going to happen. We know little of what has happened in the past or is happening now outside our immediate experience. Uncertainty has been called the ...

The findings of this study are potentially valuable, offering insights into the neural representation of reversal probability in decision-making tasks, with potential implications for understanding ...

Agroclimatic variables may affect insect and plant phenology, with unpredictable effects on pest populations and crop losses. Bactrocera oleae Rossi (Diptera: Tephritidae) is a specific pest of Olea ...