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![Dimension Reduction for Classification with Many Covariates and Pathway Activity Level Estimation için kapak resmi Dimension Reduction for Classification with Many Covariates and Pathway Activity Level Estimation için kapak resmi](/client/assets/d79c3e4af2b6d196/ctx/images/no_image.png)
Dimension Reduction for Classification with Many Covariates and Pathway Activity Level Estimation
Başlık:
Dimension Reduction for Classification with Many Covariates and Pathway Activity Level Estimation
Yazar:
Baek, Seungchul, author.
ISBN:
9780438112827
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 electronic resource (125 pages)
Genel Not:
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Advisors: Yanyuan Ma Committee members: John Grego; David Hitchcock; Joshua Tebbs.
Özet:
The development of science and technology has enabled the use of more covariates. As a result, it has become more difficult to identify dependencies among many covariates. Dimension reduction provides an efficient way to handle this issue by summarizing the effect of covariates via a few linear combinations of covariates. In this dissertation, two methodologies for real-life problems are provided by using dimension reduction equipped with semiparametric theory. The use of semiparametrics allows maximal flexibility of the model by letting some features of the model completely unspecified, while we still enjoy the interpretability of the model through estimating the parameters of interest. The last two chapters in this work present contributions to classification and pathway activity estimation: (1) we propose an optimal semiparametric linear classifier for two groups and show that the estimator outperforms any other linear classifiers; (2) we offer a two-stage analysis for high-dimensional breast cancer survival data through combining a factor model and the general index model for survival data.
Notlar:
School code: 0202
Konu Başlığı:
Tüzel Kişi Ek Girişi:
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Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
---|---|---|---|
XX(689576.1) | 689576-1001 | Proquest E-Tez Koleksiyonu | Arıyor... |
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