博碩士論文 88241005 完整後設資料紀錄

DC 欄位	值	語言
DC.contributor	數學系	zh_TW
DC.creator	吳裕振	zh_TW
DC.creator	Yuh-Jenn Wu	en_US
dc.date.accessioned	2003-7-3T07:39:07Z
dc.date.available	2003-7-3T07:39:07Z
dc.date.issued	2003
dc.identifier.uri	http://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=88241005
dc.contributor.department	數學系	zh_TW
DC.description	國立中央大學	zh_TW
DC.description	National Central University	en_US
dc.description.abstract	Summary I Bayesian survival analysis of right-censored survival data is studied using priors on Bern- strin polynomials and Markov chain Monte Carlo methods. These priors easily take into consideration geometric information like convexity or initial guess on the cumulative hazard functions. The support of these priors contains only smooth functions. Certain frequestist asymptotic properties of the posterior distribution are established. Simulation studies indi-cate that these Bayes methods are quite satisfactory. Summary II Bayesian isotonic regressions are studied using priors on Bernstein polynomials and Markov chain Monte Carlo methods. These priors are °exible and have support the space of bounded, increasing, and continuous functions satisfying certain geometric properties, such as being convex or sigmoidal. As an application, a Baysian isotonic and sigmoidal regression model is successfully employed to conduct data normalization in cDNA microarray exper-iments with DNA control sequences, where calibration curves relating °uorescence signal intensities to gene expressional levels are studied as regression functions.	en_US
DC.subject	貝氏存活分析	zh_TW
DC.subject	伯氏先驗分布	zh_TW
DC.subject	貝氏遞升迴歸	zh_TW
DC.subject	Bayesian Isotonic Regression	en_US
DC.subject	Bernstein Prior	en_US
DC.title	伯氏先驗分布在貝氏存活分析 與貝氏遞升迴歸的應用	zh_TW
dc.language.iso	zh-TW	zh-TW
DC.title	Application of Bernstein Prior inBayesian Isotonic Regression	en_US
DC.type	博碩士論文	zh_TW
DC.type	thesis	en_US
DC.publisher	National Central University	en_US