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Title: Contributions to classification and calibration with high-dimensional data
Author(s): Ge, Nanxiang
Doctoral Committee Chair(s): Simpson, Douglas G.
Department / Program: Statistics
Discipline: Statistics
Degree Granting Institution: University of Illinois at Urbana-Champaign
Degree: Ph.D.
Genre: Dissertation
Subject(s): Biology, Biostatistics
Statistics
Abstract: Statistical classification and calibration with high-dimensional data are studied. We have proposed new classification and calibration procedures for high-dimensional data and have established dimensional consistency for certain high-dimensional classification and calibration procedures. Strong dimensional consistency are obtained in certain cases.
By treating data as discretization of random functions, we have proposed smoothing based classification and calibration procedures. We have established consistency and strong consistency for those new procedures and have shown that smoothing based procedures improve the performance when random time-shift exists.
Issue Date: 1996
Type: Text
Language: English
URI: http://hdl.handle.net/2142/21457
Rights Information: Copyright 1996 Ge, Nanxiang
Date Available in IDEALS: 2011-05-07
Identifier in Online Catalog: AAI9625136
OCLC Identifier: (UMI)AAI9625136


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