Learn how the Advanced Internal Rating-Based (AIRB) approach helps financial institutions internally assess credit risk using ...

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation. This could help improve the reliability of data analyses in areas like ...

Welcome to the 14th Cochrane Methods report compiled by the Central Executive Team to provide an overview of the key methodological activities in Cochrane for 2024–2025. The report highlights the ...

A study by University of Hawaiʻi researchers is advancing how we learn the laws that govern complex systems—from predator-prey relationships to traffic patterns in cities to how populations grow and ...

Online data has the potential to transform how researchers and companies produce election forecasts. Social media surveys, online panels, and even comments scraped from the internet can offer valuable ...

Innovative statistical method helps determine ideal threshold times in restricted mean survival time analyses. The restricted mean survival time (RMST) analysis technique was introduced in health care ...

Objectives This scoping review aims to identify and synthesise existing statistical methods used to assess the progress of HIV treatment programmes in terms of the HIV cascade and continuum of care ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision ...

Kevin Dayaratna was Director of the Center for Data Analysis and Chief Statistician for Heritage. A variety of statistical tools can detect potential breaches in the integrity of elections. These ...

Abstract: Due to the rapid expansion of high-speed systems and the escalating complexity of circuits in recent decades, relying on linearity and applying the superposition concept in high-speed ...

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