Abstract: In outlier hypothesis testing, one aims to detect outlying sequences among a given set of sequences, where most sequences are generated i.i.d. from a nominal distribution while outlying ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...

If you use Excel 40 hours a week (and those are the weeks you are on vacation), welcome to the MrExcel channel. Home to 2,400 free Excel tutorials. Bill "MrExcel" Jelen is the author of 67 books about ...

Background: The Coronavirus Disease 2019 (COVID-19) pandemic and associated public health measures impacted alcohol use. It was hypothesized that the COVID-19 pandemic led to a polarization of ...

A new artificial intelligence (AI)-powered penetration testing tool linked to a China-based company has attracted nearly 11,000 downloads on the Python Package Index (PyPI) repository, raising ...

The threat actor behind the malware-as-a-service (MaaS) framework and loader called CastleLoader has also developed a remote access trojan known as CastleRAT. "Available in both Python and C variants, ...

Abstract: We revisit sequential outlier hypothesis testing and derive bounds on the achievable exponents. Specifically, the task of outlier hypothesis testing is to identify the set of outliers that ...