highdimensionaldataanalysis

HarvardX: High-Dimensional Data Analysis. 4.3 stars. 6 ratings. A focus on several techniques that are widely used in the analysis of high-dimensional data.

High-dimensional statistics focuses on data sets in which the number of features is of comparable size, or larger than the number of observations.

High-Dimensional Data Analysis. A focus on several techniques that are widely used in the analysis of high-dimensional data.

The book covers new mathematical (statistical, geometrical, computational) principles for high-dimensional data analysis, with scalable optimization methods and ...

It is structured around topics on multiple hypothesis testing, feature selection, regression, classification, dimension reduction, as well as applications in ...

In statistical theory, the field of high-dimensional statistics studies data whose dimension is larger than typically considered in classical multivariate ...

High-dimensional data are defined as data in which the number of features (variables observed), p, are close to or larger than the number of observations (or ...

由 J Rahnenführer 著作 · 2023 · 被引用 2 次 — In high-dimensional data (HDD) settings, the number of variables associated with each observation is very large. Prominent examples of HDD ...

The word. “high-dimensional” refers to the situation where the number of unknown param- eters which are to be estimated is one or several orders of magnitude ...