Course TopicsThe goal of this talk is to familiarize those in attendance with some common multivariate methods, such as principal component analysis, factor analysis, Hotelling’s T2, etc. We’ll try to ...

Topics include counting techniques, discrete and continuous univariate and multivariate random variables & common distributions, probability, expectation, variance, confidence intervals, the Central ...

The need for ethical data scientists in today's society is greater than ever before. The Online Master of Science (M.S.) in Data Science empowers you to apply technical methods and consulting skills ...

Our research group develops modern and efficient multivariate statistical methods tailored for different types of multivariate data, such as time series, spatial data, spatio-temporal data, or ...

Multivariate methods were used to compare longitudinal measures of lung function between the treatment groups.

The results showed that OHCs and gene expression profiles were individually grouped in three areas and the covariation of the two datasets provided by a multivariate method was significantly similar.

2. Accuracy in estimating multivariate relationships In addition to point estimates (e.g., % approving of President Barack Obama’s job performance), public opinion polls are often used to determine ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...