This program opens opportunities in enhancing statistical skills for validation projects, focusing on variance, sample distributions, and process capability, which are crucial for setting acceptance ...

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 ...

Distance multivariance is a multivariate dependence measure, which can detect dependencies between an arbitrary number of random vectors each of which can have a distinct dimension. In his new article ...

The efficiency of Monte Carlo simulations is significantly improved when implemented with variance reduction methods. Among these methods, we focus on the popular importance sampling technique based ...

A research team led by Prof. PAN Ding, Associate Professor from the Departments of Physics and Chemistry, and Dr. LI Shuo-Hui, Research Assistant Professor from the Department of Physics at the Hong ...

The world of cells is surprisingly noisy. Each cell carries unique genetic information, but when we try to measure cellular activity, signals can be lost or blurred, and differences between ...

Innovation in health care relies on the ability to figure out what the data is trying to teach us. Data analytics, including but not limited to GenAI powered data analytics, presents an insatiable ...

University of Michigan researchers have developed a statistical method that can be used for such wide-ranging applications as tracing your ancestry, modeling disease spread and studying how animals ...