| DC 欄位 |
值 |
語言 |
| DC.contributor | 數學系 | zh_TW |
| DC.creator | 陳孜圩 | zh_TW |
| DC.creator | Tzu-yu Chen | en_US |
| dc.date.accessioned | 2008-7-2T07:39:07Z | |
| dc.date.available | 2008-7-2T07:39:07Z | |
| dc.date.issued | 2008 | |
| dc.identifier.uri | http://ir.lib.ncu.edu.tw:444/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.description | National Central University | en_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.abstract | One 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.subject | Markov chain Monte Carlo | en_US |
| DC.subject | change point problem | en_US |
| DC.subject | comparative genomic hybridization | en_US |
| DC.subject | step function | en_US |
| DC.subject | Bayesian regression model | en_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.iso | zh-TW | zh-TW |
| DC.title | A Bayesian Approach to Step Function Regression with Data Dependent Error | en_US |
| DC.type | 博碩士論文 | zh_TW |
| DC.type | thesis | en_US |
| DC.publisher | National Central University | en_US |