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Statistical Inference using the Morse-Smale Complex

29 June 2015
Yen-Chi Chen
Christopher R. Genovese
Larry A. Wasserman
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Abstract

The Morse-Smale complex of a function fff decomposes the sample space into cells where fff is increasing or decreasing. When applied to nonparametric density estimation and regression, it provides a way to represent, visualize, and compare multivariate functions. In this paper, we present some statistical results on estimating Morse-Smale complexes. This allows us to derive new results for two existing methods: mode clustering and Morse-Smale regression. We also develop two new methods based on the Morse-Smale complex: a visualization technique for multivariate functions and a two-sample, multivariate hypothesis test.

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