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Fixed and random effects selection in nonparametric additive mixed models.

Lai, Chu Shing. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2010. / Includes bibliographical references (leaves 44-46). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- B-Spline Modeling of Nonparametric Fixed Effects --- p.3 / Chapter 3 --- Parameter Estimation --- p.5 / Chapter 3.1 --- Fixed Component Estimation using Adaptive Group Lasso --- p.5 / Chapter 3.2 --- Random Component Estimation using Newton Raphson --- p.7 / Chapter 3.3 --- Combining the Two Algorithms --- p.9 / Chapter 4 --- Selection of Model Complexity --- p.10 / Chapter 4.1 --- Model Selection Criterion --- p.10 / Chapter 4.2 --- Calculating the Degrees of Freedom --- p.10 / Chapter 4.3 --- Practical Minimization of (4.1) --- p.12 / Chapter 5 --- Theoretical results / Chapter 5.1 --- Consistency of adaptive group lasso --- p.14 / Chapter 5.2 --- Consistency of Bayesian Information Criterion --- p.16 / Chapter 6 --- Simulations / Chapter 7 --- Real applications / Chapter 7.1 --- Prostate cancer data --- p.23 / Chapter 7.2 --- Housing data --- p.25 / Chapter 7.3 --- Depression Dataset --- p.27 / Chapter 8 --- Summary --- p.31 / Chapter A --- Derivation of (3.7) and (3.8) --- p.32 / Chapter B --- Lemmas --- p.34 / Chapter C --- Proofs of theorems --- p.37

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_327184
Date January 2010
ContributorsLai, Chu Shing., Chinese University of Hong Kong Graduate School. Division of Statistics.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, v, 46 leaves : ill. ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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