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oai:www.ideals.illinois.edu:2142/21457 2023-07-10 col_2142_5131 col_2142_17362 com_2142_5130 com_2142_17361 com_2142_8903

Simpson, Douglas G. Ge, Nanxiang 2011-05-07T13:09:11Z 2011-05-07T13:09:11Z 10000-01-01 1996 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. Made available in DSpace on 2011-05-07T13:09:11Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9625136.pdf: 3636558 bytes, checksum: be371e5e8af90c5a6e44f0faefd54154 (MD5) Previous issue date: 1996 Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:50:55Z Item is restricted indefinitely. Restriction data tranferred 2014-07-01T11:23:19-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission ETDs are only available to UIUC Users without author permission U of I Only AAI9625136 (UMI)AAI9625136 http://hdl.handle.net/2142/21457 eng Copyright 1996 Ge, Nanxiang Biology, Biostatistics Statistics Contributions to classification and calibration with high-dimensional data text Statistics Statistics University of Illinois at Urbana-Champaign Dissertation Ph.D.