Statdepth: a package for analysis of functional and pointcloud data using statistical depth
Computation
2023-02-28 v1
Abstract
Laboratory scientists are well equipped with statistical tools for univariate data, yet many phenomena of scientific interest are time-variant or otherwise multidimensional. Functional data analysis is one way of approaching such data: by representing these more complex data as single data points in a mathematical space of functions. The mathematical concept of functional depth provides a notion of centrality which allows for descriptive statistics and some comparative statistics on these data. Here, we present statdepth, a Python package for functional depth-based analyses which naturally extends familiar single-data-point L-statistics and related methods to time-variant data trajectories or multidimensional data.
Cite
@article{arxiv.2302.13238,
title = {Statdepth: a package for analysis of functional and pointcloud data using statistical depth},
author = {Julian Lehrer and Mircea Teodorescu and Yohei Rosen},
journal= {arXiv preprint arXiv:2302.13238},
year = {2023}
}