Abstract: The rapid expansion of large language models (LLMs) has led to increasingly frequent interactions between LLM agents and human users, motivating new questions about their capacity to form ...

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

In the Million Veteran Program Return Of Actionable Results (ROAR) randomized trial, investigators tested the impact of ...

How modern mathematics helps policymakers and insurers connect the dots of the country’s fragmented demographic data ...

In the US, marketing measurement software specialist Slingwave has launched an AI-native marketing attribution and scenario ...

Today at CES, Slingwave unveiled its unified, AI-native platform for growing eCommerce and direct-to-consumer brands that helps marketers make the right spending decisions to grow their brand. The ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their applications in improving industrial efficiency and flexibility. It also ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...