一、課程說明(Course Desc<x>ription)
<br>簡介貝氏分析方法在統計推論上的應用
<br>並介紹常用於處理貝氏模式與相關計算之有效率的數值方法
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<br> 二、指定用書(Text Books)
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<br>Bayesian Data Analysis, by Gelman, Carlin, Stern and Rubin,
<br>2nd edition, Chapman and Hall, 2004.
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<br> 三、參考書籍(References)
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<br> 四、教學方式(Teaching Method)
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<br>口述
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<br> 五、教學進度(Syllabus)
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<br>1. Probability Review
<br>2. Standard univariate models 
<br>3. Multivariate models
<br>4. Hierarchical models
<br>5. Model checking and model selection
<br>6. MCMC methods
<br>7. Robust modeling and sensitivity analysis
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<br> 六、成績考核(Evaluation)
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<br>1. Homework 50%
<br>2. Midterm 25%
<br>2. Final Project 25%
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<br> 七、可連結之網頁位址
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