2000 character limit reached
Principal Moment Analysis
Published 9 Mar 2020 in math.ST and stat.TH | (2003.04208v1)
Abstract: Principal Moment Analysis is a method designed for dimension reduction, analysis and visualization of high dimensional multivariate data. It generalizes Principal Component Analysis and allows for significant statistical modeling flexibility, when approximating an unknown underlying probability distribution, by enabling direct analysis of general approximate measures. Through https://principalmomentanalysis.github.io/ we provide an implementation, together with a graphical user interface, of a simplex based version of Principal Moment Analysis.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.