通過條件
成 績 :60 分
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Introduction to the course
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An introduction to R
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Generation of Random Numbers
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Graphical methods in statistical computing
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Numerical Linear Algebra for Statistical methods-Cholesky
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Numerical methods in statistics
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program: Newton method
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Laplace Approximations
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program: Laplcae
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The EM Algorithm
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The SEM algorithm
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Rejection Sampling
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program: Rejection
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Importance Sampling
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program: Importance
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Markov Chain Monte Carlo Method - Markov Chain
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program: transition
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Markov Chain Monte Carlo Method – Gibbs Sampling
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program: Gibbs
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Markov Chain Monte Carlo Method – Metropolis Hasting
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program: Metropolis-Hasting
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Bootstrap Resampling
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Bootstrap線上同步檔案
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MCMC線上同步檔案
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Gibbs sampler-1線上同步檔案
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Gibbs sampler-2線上同步檔案
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Metropolis-Hastings Algorithm線上同步檔案
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MCMC1教學影片1.mp4
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MCMC1教學影片2.mp4
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Gibbs Sampler教學影片1.mp4
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Gibbs Sampler教學影片2.mp4
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MH Algorithm教學影片1.mp4
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MH Algorithm教學影片2.mp4
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應用方法影片1.mp4
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應用方法影片2.mp4
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應用方法影片3.mp4
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應用方法影片4.mp4
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統計計算期末報告1.mp4
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統計計算期末報告2.mp4
- 課程介紹
- 課程安排
- 評論