A comparison between quasi-Bayes method and Gibbs sampler on the problem with censored data

Description

以貝氏方法來處理部分區分(partially-classified)或是失去部分訊息資料的類別抽樣(categorical sampling with censored data)，大部分建立在「誠實回答」(truthful reporting)以及「無價值性失去部分訊息」(non-informative censoring)的前提下。Dr.Jiang(1995)取消以上兩個限制，提出quasi-Bayes method來近似這類問題的貝氏解。另外我們也嘗試利用Gelfand and Smith(1990)針對Gibbs sampler所提出的收斂方法來估計。本文重點在比較此兩種方法的估計值準確性，並考慮先驗參數(prior)對估計精準的影響。

Links & Downloads

1. http://thesis.lib.nccu.edu.tw/cgi-bin/cdrfb3/gsweb.cgi?o=dstdcdr&i=sid=%22G0090751004%22.

Tags

quasi-Bayes

Gibbs

censored data

Additional Fields

Identifer	oai:union.ndltd.org:CHENGCHI/G0090751004
Creators	柯力文, Ko, Li-wen
Publisher	國立政治大學
Source Sets	National Chengchi University Libraries
Language	中文
Detected Language	English
Type	text
Rights	Copyright © nccu library on behalf of the copyright holders