博碩士論文 952201016 完整後設資料紀錄

DC 欄位 語言
DC.contributor數學系zh_TW
DC.creator陳孜圩zh_TW
DC.creatorTzu-yu Chenen_US
dc.date.accessioned2008-7-2T07:39:07Z
dc.date.available2008-7-2T07:39:07Z
dc.date.issued2008
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=952201016
dc.contributor.department數學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract在這篇論文中,我們將 Wen et al. 在2006年提出的貝氏迴歸模型做推廣,考慮其誤差項會受到迴歸函數的函數值所影響。除此之外,我們也更近一步地探討,在每一個位置附近發生跳點的機率以及其所跳的高度之間的關係。zh_TW
dc.description.abstractOne of the purposes of this thesis is to extend the Bayesian step-function regression model of Wen et al. (2006) to allow for more general noise term so that the error term may vary with the ratio itself, which is also a familiar phenomenon in regression analysis. The other purpose of this thesis is to explore in more detail the relation between the size of the jump at a point of the posterior mode and posterior probability that it is a jump point.en_US
DC.subject變點問題zh_TW
DC.subject馬可夫鏈蒙地卡羅法zh_TW
DC.subject階梯函數zh_TW
DC.subject比較型基因體雜交分析技術zh_TW
DC.subject貝氏迴歸模型zh_TW
DC.subjectMarkov chain Monte Carloen_US
DC.subjectchange point problemen_US
DC.subjectcomparative genomic hybridizationen_US
DC.subjectstep functionen_US
DC.subjectBayesian regression modelen_US
DC.title數據依賴誤差之階梯函數迴歸的貝氏方法zh_TW
dc.language.isozh-TWzh-TW
DC.titleA Bayesian Approach to Step Function Regression with Data Dependent Erroren_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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