2026-09-19T02:07:49Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/45563 2023-07-11 col_2142_17362 col_2142_5131 com_2142_17361 com_2142_8903 com_2142_5130

Qu, Annie Liang, Feng Qu, Annie Marden, John I. Portnoy, Stephen L. Li, Bin 2013-08-22T16:47:56Z 2013-08-22T16:47:56Z 2015-08-22T10:00:51Z 2013-08 2013-08-22T16:47:56Z 2013-08 Nowadays in many statistical applications, we face models whose complexity increases with the sample size. Such models pose a challenge to the traditional statistical analysis, and call for new methodologies and new asymptotic studies, which are exactly the focus of my thesis. In particular, my thesis consists of three parts: i) a novel non-parametric qualification procedure for lysate protein microarray; ii) theoretic analysis for one-way ANOVA with diverging dimensionality and iii) statistical analysis for multi-task learning. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2013-07-09T14:40:36Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Bin_Li.pdf: 2734289 bytes, checksum: 08724e533e8e51f24a6763b050cc4a09 (MD5) Made available in DSpace on 2013-08-22T16:47:56Z (GMT). No. of bitstreams: 2 Bin_Li.pdf: 2735099 bytes, checksum: dfec30ca2d13cbd3cf08dc9b1b1cec45 (MD5) license.txt: 4054 bytes, checksum: cee4c079ec03a626f4148febe73d4f10 (MD5) Restriction data tranferred 2014-07-01T11:21:00-05:00 Original Data Group with Access UIUC Users [automated] Release Date: 2015-08-22 11:49:27 UTC Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Seth Robbins (srobbins@illinois.edu) on 2013-08-22T16:49:36Z Item is restricted until 2015-08-22T16:49:27Z U of I Only Restriction Lifted for Item 45545 on 2015-08-22T10:00:51Z. http://hdl.handle.net/2142/45563 en Copyright 2013 Bin Li lysate protein microarray non-parametric qualification regularization one-way analysis of variance (ANOVA) g-prior multi-task learning Generalized information criterion (GIC) Group Lasso Statistical models with diverging dimensionality text Statistics 1583 Statistics 0329 University of Illinois at Urbana-Champaign Dissertation Ph.D. PHD:Statistics -UIUC 10KS0329PHD