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Activity Number: 287
Type: Invited
Date/Time: Tuesday, August 11, 2015 : 8:30 AM to 10:20 AM
Sponsor: Section on Nonparametric Statistics
Abstract #314472
Title: Statistical Inference for Complex Data Objects
Author(s): Haonan Wang* and Ela Sienkiewicz
Companies: Colorado State University and Colorado State University
Keywords: Binary Tree ; Object Oriented Data Analysis ; Topology
Abstract:

In the big data era, complex data objects are frequently collected in various scientific fields. Our motivating example is a data set of brain neurons. Each neuron can be modeled as a tree-structured data object with both topological and geometric properties. Statistical inference concerning the distribution of such data objects is of great interest. We formulate the estimation problem as a multi-objective optimization which balances the tradeoff among various measures of the topological and geometric properties of complex data objects. Some preliminary results using real data examples will be discussed.


Authors who are presenting talks have a * after their name.

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