We introduce new statistical methods for analyzing genomic data sets that measure many effects in many conditions (for example, gene expression changes under many treatments). These new methods ...

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 ...

A quantitative approach for linking baseline sample size to statistics provides a statistically justified basis for ...

Single-cell RNA-sequencing (scRNA-seq) enables the dissection of complex cellular programs at single-cell resolution in biological samples with heterogeneous cell compositions. When cells in a sample ...

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 ...

No matter the field, if a researcher is collecting data of any kind, at some point he is going to have to analyze it. And odds are he’ll turn to statistics to figure out what the data can tell him. As ...