Model and variable selection have attracted considerable attention in areas of application where datasets usually contain thousands of variables. Variable selection is a critical step to reduce the dimension of high dimensional data by eliminating irrelevant variables. The general objective of variable selection is not only to obtain a set of cost-effective predictors selected but also to improve prediction and prediction variance. We have made several contributions to this issue through a range of advanced topics: providing a graphical view of Bayesian Variable Selection (BVS), recovering sparsity in multivariate nonparametric models and proposing a testing procedure for evaluating nonlinear interaction effect in a semiparametric model. To address the first topic, we propose a new Bayesian variable selection approach via the graphical model and the Ising model, which we refer to the ``Bayesian Ising Graphical Model'' (BIGM). There are several advantages of our BIGM: it is easy to (1) employ the single-site updating and cluster updating algorithm, both of which are suitable for problems with small sample sizes and a larger number of variables, (2) extend this approach to nonparametric regression models, and (3) incorporate graphical prior information. In the second topic, we propose a Nonnegative Garrote on a Kernel machine (NGK) to recover sparsity of input variables in smoothing functions. We model the smoothing function by a least squares kernel machine and construct a nonnegative garrote on the kernel model as the function of the similarity matrix. An efficient coordinate descent/backfitting algorithm is developed. The third topic involves a specific genetic pathway dataset in which the pathways interact with the environmental variables. We propose a semiparametric method to model the pathway-environment interaction. We then employ a restricted likelihood ratio test and a score test to evaluate the main pathway effect and the pathway-environment interaction. / Ph. D.

在數位出版產業中，台灣出版業者面對網路改革的壓力，積極尋找網路數位出版發展趨勢與商業模式，並且華文網路市場機會的興起以及網路社會上智慧財產權的日益重要，本研究將以智慧財產權管理的角度探討在網路中，臺灣出版業者如何尋找新的商業模式掌握此次出版業的革命商機，為廠商提出發展建議。 網路數位出版，意指在內容出版的過程，從內容創造、流通到利用都是以數位化的技術進行，並且在網路的環境中完成這些過程。網路數位出版平台，指的是溝通內容創造與內容利用兩端的中間者。負責聯絡兩方平台業者所面對的智財權議題以著作權最為重要，因為數位出版產業立基於內容發展，而著作權主要說明內容的管理。 本研究從網路長尾理論出發，以該現象形成的原因作為分析廠商的智財權管理的面向，分析專業數位出版平台—商業周刊網站，以及業餘數位出版平台—PIXNET，尋找商業模式與智財權管理的關連性。 根據個案訪談的結果分析，專業數位出版平台內容發行與智財權管理皆為以業者角度為主的單向，然而業餘數位出版平台的內容發行與智財權管理都是以互動的方式完成，平台之商業模式確實影響智財權的管理。除此之外，對於未來數位出版平台的發展，專業與業餘之間的藩籬逐漸消弭，成為兩者的綜合，本研究亦建議業者朝向專業與業餘並行的發展方向前進。 / The importance of intellectual property increases with the growth of Chinese internet market. Taiwan publishers are now confronted with the pressure from internet innovation and thus are forced to find out a new business model and more opportunity. This study will focus on the possible business model of digital publishing and the strategy of IP management which Taiwan publishers should adopt. Digital publishing suggests an all-digitalized publication process. Every step of publication, from content creation, editing, publishing, selling to application, can be completed all through the internet. The platform of digital publishing serves to communicate both side of content providers and users. Hence, copyright of the digital content and the management of copyright becomes one of the most important intellectual property issues. The thesis will begin with Chris Anderson’s Long Tail theory. Two websites of digital publishing in Taiwan will be chosen for analysis: the Business Weekly as the commercial plaform and PIXNET Blog as the avocational one. Through the comparison, the study aims to find out the connections between the business model and the intellectual property management. According to the case studies, the content and the intellectual property management of commercial platform are unidirectional, decided by managers. On the other hand, tthese of avocational one are bidirectional, influenced by website managers and users. Intellectual property managements are influenced by different business model. However, it would be the trend that the barrier between commercial platform and the avocational one will melt away and the business model of website in the future will change. The business model and intellectual property management of digital publishing platform should combine characteristics of both commercial and avocational one.

This diploma thesis is concerned with the possibilities of the social web data employment in social sciences. Its theoretical part describes the changes in education in the context of the dynamics of contemporary society within three fundamental (interrelated) dimensions of technology (the cause and/or the tool for the change), work (new models of collaboration), and economics (sustainability of free & open-source business models). The main methodological part of the thesis is focused on the issues of sampling, sample representativeness, validity & reliability assessment, ethics, and data collection of the emerging social web research in social sciences. The research part includes illustrative social web analyses and conclusions of the author's 2014 Coursera & Khan Academy on the Social Web research and provides the full research report in its attachement to compare its results to the theoretical part in order to provide a "naive" (as derived from the social web mentions and networks) answer to the fundamental question: "How to Create Self-Driven Education?" Powered by TCPDF (www.tcpdf.org)