“Sweet are the uses of adversity, which, like the toad, ugly and venomous, wears yet a precious jewel in his head.” – William Shakespeare, “As You Like It” (II.1.12–17) Despite extensive resilience ...
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 ...
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 ...
A reproducibility crisis is ongoing in scientific research, where many studies may be difficult or impossible to replicate and thereby validate, especially when the study involves a very large sample ...
When a machine learning model is trained, it learns patterns from a particular dataset. Those patterns are shaped by the distribution of the training data: how values are spread how often events occur ...
Various statistical forecasting methods exist designed for use with slow-moving products, new product introductions, stable mature products and products with erratic ...
“One Guinness, please!” a customer says to a barkeep, who flips a branded pint glass and catches it under the tap. The barkeep begins a multistep pour process lasting precisely 119.5 seconds, which, ...
Robot policy evaluation is noisy, expensive, and easy to get wrong. This post introduces practical and statistically sound tools to robotics researchers and practitioners to make trustworthy policy ...
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