Computational statistics combines mathematical theory, algorithm design and high-performance computing to extract insight from data. It spans simulation-based inference (for example, bootstrap and ...

The Compass CDT is no longer open to student applications, but academic staff in the Institute for Statistical Science - part of the School of Mathematics - continue to provide focused computational ...

The course is part of Mathematical Sciences, Master's Programme, University of Gothenburg, but is also open for students outside the program who meet the course prerequisites. The course can be part ...

Enhance your expertise in machine learning and statistics with one of the most established Master's programmes in this field. Our one-year Computational Statistics and Machine Learning MSc combines ...

Size-exclusion chromatography (SEC) is presently a widely used and very informative technique for the characterization of macromolecules in solution. Beyond the first implementations of SEC-which ...

In this course, author Barton Poulson takes a practical, visual and non-mathematical approach to the basics of Statistical concepts and data analysis in SPSS, the Statistical package for business, ...

A repository for the various functions and programs I've made in the area's of: Data Science, Analytics, Machine Learning & Statistics.

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ABSTRACT: XLR is an Excel add-in that unifies the user friendly, widely popular interface of Excel with the powerful and robust computational capability of the GNU statistical and graphical language R ...