Latent Class Models in Monte CarloMarkov Chain Analysis
碩士 === 中原大學 === 應用數學研究所 === 101 === The concepts of latent class models are easy to understand.Maximum likelihood estimations (MLE) and EM algorithm are two methods used to estimate the latent class parameters. In this paper, we use the WinBUGS software and the Monte Carlo Markov Chain (MCMC) method...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/98064920191257873241 |
| Summary: | 碩士 === 中原大學 === 應用數學研究所 === 101 === The concepts of latent class models are easy to understand.Maximum likelihood estimations (MLE) and EM algorithm are two methods used to estimate the latent class parameters. In this paper, we use the WinBUGS software and the Monte Carlo Markov Chain (MCMC) methods to estimate these latent class parameters and conditional probabilities. We apply the techniques to analyze the CYCU calculus examinations.
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