Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...

An economic feasibility study must consider the uncertainties inherent to a mining project, whose risks must be quantified properly to enable accurate decision-making. Studies previously carried out ...

A normal distribution, often referred to as a Gaussian distribution, is a fundamental concept in statistics and probability theory. Understanding its characteristics is crucial for interpreting data, ...

The assertion that a given distribution is not a probability distribution demands a rigorous examination of its properties against the foundational axioms that define a probability distribution. A ...

Interest Rate Probability Distributions Implied by Derivatives Prices is a daily measure of the distribution of future short-term interest rates, calculated from prices of fixed-income derivatives ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

ABSTRACT: This methodological article aims to present the type I Pareto distribution in a clear and illustrative manner for better understanding among social researchers. It also provides R scripts ...

This work describes an engineering methodology incorporating the statistics of microcracks and a probability distribution of the (local) fracture stress to assess the effects of constraint loss and ...

This course provides a project-based approach to introductory statistics with an emphasis on using real-world data and statistical literacy. Topics include descriptive statistics, correlation and ...

Abstract: For on-policy reinforcement learning (RL), discretizing action space for continuous control can easily express multiple modes and is straightforward to optimize. However, without considering ...