The Forum served as a global platform to align perspectives on the role of AI in boosting productivity, advancing infrastructure and safety, transforming the workforce, and addressing the geopolitical ...

In a new draft guidance issued on January 14, 2026, the FDA discussed the use of a modern statistical methodology in clinical trials designed to ...

Discover how sample size neglect impacts statistical conclusions and learn to avoid this cognitive bias studied by renowned experts like Tversky and Kahneman.

Pioneering biostatistician and infectious disease expert Dr. Elizabeth Halloran recently transitioned to emerita after a ...

Develop and validate causal models to evaluate the impact of marketing campaigns and initiatives, leveraging advanced statistical methods for causal inference. Design and implement randomized ...

Stochastic gradient descent (SGD) provides a scalable way to compute parameter estimates in applications involving large-scale data or streaming data. As an alternative version, averaged implicit SGD ...

Dormancy is a widespread bet-hedging strategy across taxa, enabling organisms to survive natural and anthropogenic disturbances. It fundamentally alters eco-evolutionary processes, including ...

In the wake of the replication crisis, statistical power has become one of the central issues in debates about the quality of research. The widespread use of tests with low power is seen as a key ...

Abstract: Accurately predicting the delay distribution of subthreshold circuits is crucial for verifying the timing closure of digital circuits and estimating parameter yields. The delay variation, ...

With the availability of high-quality full genome polymorphism (SNPs) data, it becomes feasible to study the past demographic and selective history of populations in exquisite detail. However, such ...