The CP2K open-source package is among the top three most widely used research software suites worldwide for simulating the ...

Seven-month LIVE online programme, delivered with TimesPro, builds hands-on capability in Python, TensorFlow, PyTorch, and ...

Seven-month LIVE online programme, delivered with TimesPro, builds hands-on capability in Python, TensorFlow, PyTorch, and ...

Hub Affiliations announces the acquisition of the assets of Sbostats, a company specialized in statistical services and education applied to sports betting. The transaction involves the integration of ...

Small changes in diet, exercise and sleep may extend life by a year when put into practice together, while making larger ...

Abstract: In this letter, three least squares approximation (LSA) algorithms are presented and applied to the statistical analysis of a field-to-line coupling model over a nonideal ground. These three ...

Modeling income distributions is crucial for understanding inequality and providing evidence-based policy support. A key challenge, however, lies in evaluating the extent to which household income ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Purdue University’s online Master's in Applied Statistics prepares students to advance theory, methods and computing for the purpose of meeting today’s emerging science and technology by including ...

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Jackie Robinson once said “A life is not important except in the impact it has on other lives.” Dr. Ken Kellner is a prime example of making an impact on the lives and work of others, albeit mostly ...

Writing the Book on Applied Statistical Modeling Another major project occupying Kellner’s time the last few years is the book, “ Applied Statistical Modeling for Ecologists,” which he co-authored ...