Learn to apply Bayes' theorem in financial forecasting for insightful, updated predictions. Enhance decision-making with ...

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how the Bayesian and Buhlmann methods relate.

Based on the compounding mechanism, a unique discrete probability distribution is investigated in this paper. The Poisson distribution is mixed with a lifetime model called as the Fav-Jerry model. The ...

Mathematics Department, Egerton University, Njoro Nakuru, Kenya. Bayesian techniques have been applied in many epidemiological settings, such as disease monitoring, outbreak simulation, and prevalence ...

The mathematics that enable sensor fusion include probabilistic modeling and statistical estimation using Bayesian inference and techniques like particle filters, Kalman filters, and α-β-γ filters, ...

Introduction: Triage is the process aimed at ensuring that patients receive a level and quality of care matching the urgency of their conditions. The present study focuses on telephone triage. We ...

Abstract: This paper presents a theoretical training sample size estimation for the Bayes classifier based on the estimation of a learning curve for the class-conditional probability density. A ...

310+487=797 (actual) added 9/10/2018 11:07:41 pm this answer has been confirmed as. To estimate the sum of the numbers 487 and 310, we can round these numbers to the nearest hundred for simplicity.

I'm working on the length-weight relationships provided in the estimate.csv and trying to find more explanations about the parameters . I wonder where I could find more specific reference about the ...