Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/49462
題名: von Mises-Fisher分配資料的半母數貝氏分析法
Semi-parametric Bayesian analysis on von Mises-Fisher distribution data
作者: 林其緯
Lin,Chi Wei
貢獻者: 姜志銘
林其緯
Lin,Chi Wei
關鍵詞: Dirichlet過程
von Mises-Fisher分配
半母數貝氏分析法
日期: 2009
上傳時間: 8-Dec-2010
摘要: 在許多科學領域裡所蒐集到的資料是具有方向性且落在單位球上,而在具有方向性且在單位球上的資料分配中,最重要也是最常使用的分配是3維的von Mises-Fisher分配。在過去有許多學者專家曾分析過具有3維von Mises-Fisher分配的資料,其中Nunez-Antonio和Gutierrez-Pena (2005)也曾利用全貝氏法來分析此種資料。本文首次嘗試利用半母數貝氏法來分析具有3維von Mises-Fisher分配的資料。除了介紹如何估計參數以及預測未來資料的機率密度函數外,本文也將檢定兩組分別服從不同3維von Mises-Fisher分配的資料其平均方向是否相同,並且提供選取先驗分配與其參數之建議。
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描述: 碩士
國立政治大學
應用數學研究所
92751007
98
資料來源: http://thesis.lib.nccu.edu.tw/record/#G0927510071
資料類型: thesis
Appears in Collections:學位論文

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