數(shù)學(xué)函數(shù)Markdown寫法 ：
1. https://www.cnblogs.com/fr-ruiyang/p/11317074.html
2.?https://blog.csdn.net/qq_35451572/article/details/80303228
3. https://blog.csdn.net/weixin_45459911/article/details/106711996? ?\hat{\beta}
關(guān)于筆記，因?yàn)槠綍r上數(shù)學(xué)lecture的習(xí)慣，我習(xí)慣于和他人一樣，邊閱讀，邊記筆記，但這樣很不專注。
理解數(shù)學(xué)，和摘抄重點(diǎn)，這兩者無法同時兼顧，但又生怕錯過任何一點(diǎn)。
先理解，再摘抄重點(diǎn)，看似是一件更加專注且高效的行為，但實(shí)際上要花去更多的時間。
這樣的行為對我本身不利，但這是有意義的。
與其看數(shù)學(xué)公式，看這些符號如何擺，擺在哪里，這些其實(shí)毫無意義，
不如去理解其中抽象的概念，數(shù)學(xué)家其實(shí)也只是把符號隨便亂擺，這樣看起來方便一些罷了，
如果不理解概念是不可能會做題的，哪怕背下來也是如此，題目只是為了幫助理解概念。
布里斯托大學(xué)：Bayesian Modelling 和 《貝葉斯統(tǒng)計(jì)》
Program
? Chapter 1: Introduction -〉《貝葉斯統(tǒng)計(jì)》第一章
? Chapter 2: Decision theory and Bayesian inference -》《貝葉斯統(tǒng)計(jì)》4-5章
? Chapter 3: From prior information to prior distribution-》《貝葉斯統(tǒng)計(jì)》4-5章
? Chapter 4: Hypothesis testing and credible sets-》《貝葉斯統(tǒng)計(jì)》第二章
? Chapter 5: Introduction to Markov chain Monte Carlo methods-》《貝葉斯統(tǒng)計(jì)》第七章
? Chapter 6: Bayesian networks-〉 未知
? Chapter 7: Hierarchical models-》懷疑在3.5“多層先驗(yàn)”
? Chapter 8: Bayesian asymptotics-〉
? Chapter 9: Model Choice
References
? Chapter 2:
– Chapters 2 and 4 of Robert, C. (2007). The Bayesian choice: from decision-theoretic foundations to computational implementation. Springer Science & Business Media.
? Chapter 3:
– Chapter 3 of Robert, C. (2007). The Bayesian choice: from decision-theoretic foundations to
computational implementation. Springer Science & Business Media.
? Chapter 4:
– Chapter 5 of Robert, C. (2007). The Bayesian choice: from decision-theoretic foundations to
computational implementation. Springer Science & Business Media.
? Chapter 5:
– Chapters 6 and 7 of Robert, C., & Casella, G. (2013). Monte Carlo statistical methods.
Springer Science & Business Media.
– Chapter 1 of Norris, J. R. (1998). Markov chains (No. 2). Cambridge university press.
? Chapter 6:
– Ruggeri, F., Faltin, F., & Kenett, R. (2007). Bayesian networks. Encyclopedia of Statistics in
Quality And Reliability.
? Chapter 7:
– Chapter 10 of Robert, C. (2007). The Bayesian choice: from decision-theoretic foundations to
computational implementation. Springer Science & Business Media.
– Chapter 10 of Lunn, D., Jackson, C., Best, N., Spiegelhalter, D., & Thomas, A. (2012). The
BUGS book: A practical introduction to Bayesian analysis. Chapman and Hall/CRC.
? Chapter 8:
– Kleijn, B. J. K., & Van der Vaart, A. W. (2012). The Bernstein-von-Mises theorem under
misspecification. Electronic Journal of Statistics, 6, 354-381.
– Chapter 1 of Ghosh J.K.,& Raamoorthi (2003). Bayesian Nonparamterics. Springer Series in
Statistics.
? Chapter 9:
– Chapter 7 of Robert, C. (2007). The Bayesian choice: from decision-theoretic foundations to
computational implementation. Springer Science & Business Media.
