A new statistical method provides a more efficient way to uncover biologically meaningful changes in genomic data that span multiple conditions -- such as cell types or tissues. A new statistical ...

Machine learning and artificial intelligence wouldn't be possible without the statistical models that underpin their analytic capabilities. A Cornell statistician and his colleague have developed a ...

Various statistical forecasting methods exist designed for use with slow-moving products, new product introductions, stable mature products and products with erratic demand. Determining which ...

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 ...

Rand Wilcox does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

Through tumor profiling and statistical analysis, precision oncology uses genomic and other biomarkers to drive discovery, drug development, and clinical care for patients with cancer. It intends to ...

Scientists have developed a method to identify symmetries in multi-dimensional data using Bayesian statistical techniques. Bayesian statistics has been in the spotlight in recent years due to ...

Sports performance is a difficult thing to study. There are only so many trained athletes available for experiments, and most of the measurements required to investigate human performance are ...

A variety of statistical tools can detect potential breaches in the integrity of elections. These techniques draw on tools from many fields, including pure mathematics, statistics, and machine ...