Existing statistical methods for functional data analyses tend to use local smoothing estimators or some known basis approximations. In many applications with functional observations, the main ...

Root-cause analysis is core to problem-solving across many fields. From hospitals searching for patient safety issues to ...

This paper proposes a new statistic to test independence between two high dimensional random vectors X: p₁ × 1 and Y: p₂ × 1. The proposed statistic is based on the sum of regularized sample canonical ...

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

This short course will provide an overview of non-parametric statistical techniques. The course will first describe what non-parametric statistics are, when they should be used, and their advantages ...

‘Experimental design’: these words signal a section of a research paper that many readers might be inclined to scan fleetingly, before moving on to the actual findings. But a study in Nature this week ...

Correlation doesn't imply causation. You've probably heard that before. It's a true statement that's important in statistical analysis—if more tall people own cats, that doesn't mean that cats cause ...

As device sizes continue to increase on devices at 2x nm design rule and beyond and high wafer stress is worsening due to multi-film stacking in the vertical memory process, we observe an increasing ...