Id: 038569 Credits Min: 3 Credits Max: 3 Description. This course introduces statistical methods and techniques for multivariate data analysis. The course studies basic ideas underlying multivariate ...

Covers discrete and continuous probability laws, random variables; expectations; laws of large numbers and central limit theorem; estimation, testing hypothesis, analysis of variance, regression ...

Show how to apply cutting-edge statistical methods for risk management; Analyse approaches and challenges affecting risk management; Apply statistical methods including Value-at-Risk, Expected ...

After completing a Master’s degree in bioinformatics, he stayed on there to write his doctoral thesis at the Max Planck Institute for Informatics. His thesis examined causal discovery – statistical ...

Course description. This 12-month course is designed to train you in the advanced statistical skills and latest research methods that are needed to handle and interpret large datasets documenting ...

The course provides a comprehensive coverage of fundamental aspects of methods and principles in probability and statistics, as well as linear regression analysis. Real data illustrations with the ...

This course is designed for engineering graduate students who are interested in furthering their knowledge in advanced and emerging methods of engineering design, with the focus on computational ...

Courses are designed to provide students with skills in both traditional statistical methods and cutting-edge data analysis techniques, and the degree requires an in-depth knowledge of either science, ...

To the Editor: Previous surveys, in 1978 to 1979 and in 1989, of Original Articles published in the New England Journal of Medicine revealed increasing sophistication of statistical methods over ti ...

About the major. The Bachelor of Science in Statistics and Data Science is the college’s newest major. The curriculum is designed to equip students to execute all stages of a data analysis, from data ...

Statistical Methods for Mediation Analysis Mediation analysis examines what variables may lie on the causal pathway between an exposure and an outcome. Mediation models are useful for understanding ...