During the 2024 U.S. presidential election, the crypto prediction platform Polymarket priced several outcomes closer to the ...

A simple random sample is a subset of a statistical population where each member of the population is equally likely to be ...

Large Language Models (LLMs) are typically evaluated for safety under single-shot or low-budget adversarial prompting, which underestimates real-world risk. In practice, attackers can exploit ...

Abstract: Circular statistics and Rayleigh tests are important tools for analyzing cyclic events. However, current methods are not robust to significant measurement bias, especially incomplete or ...

Variance is a measurement of the spread between numbers in a data set. Investors use the variance equation to evaluate a ...

The authors ask whether a simple whole-head spectral power analysis of human magnetoencephalography data recorded at rest in a large cohort of adults shows robust effects of age, and their results ...

The reduction of health inequalities has been a priority of researchers, decision-makers and practitioners for many years. Advances in causal mediation analysis offer great promise for identifying ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be ...

To evaluate what effect pelt prices from the prior season had on both catch-effort and vulnerability during this time, we also used fur buyer reports to estimate the average price of river otter pelts ...

ABSTRACT: The Edinburgh Postnatal Depression Scale (EPDS) is widely used in epidemiological, research, and clinical contexts. Although it has clearly established cut-off points, its psychometric ...