How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that ...

Every summer, typhoons threatening the Korean Peninsula draw their energy from the warm waters of the Northwest Pacific Ocean ...

Furthermore, nearly 90 percent of office-based physicians now use EHRs, making a wealth of patient data more readily ...

Biostatistics development in theoretical and computational methods has grown rapidly in scientific research. Together with ...

The importance of regression analysis lies in the fact that it provides a powerful statistical method that allows a business to examine the relationship between two or more variables of interest.

The course focuses on methods for modern data analysis both within a practical and theoretical framework. Fewer assumptions are made when using these methods, such as machine learning or statistical ...

STK1110 gives an introduction to statistical thinking and an overview of central statistical models and methods. The students are given insight into the theoretical foundation of the methods for ...

12.2 Statistical synthesis when meta-analysis of effect estimates is not possible. A range of statistical synthesis methods are available, and these may be divided into three categories based on their ...

Decomposition of the time-reversal (TR) operator (DORT), a recently applied TR method to transmission lines, has proven to be effective in detecting and locating soft faults in complex wire networks.

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Statistical Methods, Applications & Computing Group has 69 repositories available. Follow their code on GitHub.