id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
0v838052c26	Kisung You	Topics in Geometric and Topological Data Analysis	2021		.txt	text/plain	205	7	20	Geometric and topological data analysis have recently attained much interests from the statistics community for their capabilities to perform inferential tasks on types of data that traditional statistical disciplines had not been able to handle and for their utility that enables to capture certain aspects of the data that had not been observed. On the topological domain, I first proposed a systematic approach to compare multiple latent space embeddings for networks of potentially varying size and invariant under label permutation in light of deriving inferential insights on how shapes of networks differ via clustering and hypothesis testing procedures.	cache/0v838052c26.txt	txt/0v838052c26.txt