Discover the importance of homoskedasticity in regression models, where error variance is constant, and explore examples that illustrate this key concept.

Preventive healthcare in India is changing gears. Little by little, one measurement at a time, health systems are moving from treating disease to spotting it early ...

AI agents are machine learning models (e.g. Claude Opus 4.6) that have access to other software through a CLI harness (e.g.

Improving the conduct and reporting of newer methodological approaches Causal inference, the multidisciplinary field focused ...

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it step by step, and see real-world examples.

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 ...

President Trump fired the head of the BLS, claiming manipulated jobs numbers after a report of slowed hiring. While revisions were more dramatic than usual, these numbers are always revised. WSJ ...

French AI darling Mistral is keeping the new releases coming this summer. Just days after announcing its own domestic AI-optimized cloud service Mistral Compute, the well-funded company has released ...

IRIS is a set of algorithms and functionalities that analyze scRNA-seq data. IRIS can make predictions on cell signaling state by leveraging probabilistic models, generate and plot diffusion maps of ...

Since the Chinese company’s chatbot surged in popularity, researchers have documented how its answers reflect China’s view of the world. Some of its responses amplify propaganda Beijing uses to ...

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 ...