What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...

Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

Phase 1a/1b study in 97 patients demonstrates mitochondrial metabolic reprogramming induced by BPM31510-IV and supports advancement in multiple ...

Occam’s razor is the principle that, all else being equal, simpler explanations should be preferred over more complex ones. This principle is thought to guide human decision-making, but the nature of ...

We tend to conflate two issues when thinking about the ageing workforce. The first is a government funding issue. How to fund ...

The Observer has compiled a list of 2025 guides, tutorials, and manuals designed to support psychological scientists as they ...

Insecticide-treated nets (ITNs) are the most impactful and cost-effective control tool against malaria. ITNs are primarily distributed through triennial mass campaigns across Africa, though overall ...

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

Paradox piles on paradox in Katie Prescott’s timely biography The Curious Case of Mike Lynch. The author, a journalist with ...

Explore the insights of Andrei Marius Popescu on data modeling and the idea that not every model error is a failure.

Introduction Asthma is a chronic respiratory disorder requiring ongoing medical management. This ecological study ...