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This repo is from Bayesian Computing by Jim Albert, I simply added my notes as I learn from it.

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Bayesian-Computing---Albert-with-notes
Bayesian-Computing---Albert-with-notes
 
 
1.2 Basic Stat commands (Albert) (pp 2-8).txt
1.2 Basic Stat commands (Albert) (pp 2-8).txt
 
 
1.3 ttest (pp. 10-13).txt
1.3 ttest (pp. 10-13).txt
 
 
2.3 Using a discrete prior (Albert pp21-22).txt
2.3 Using a discrete prior (Albert pp21-22).txt
 
 
2.4 Using a beta prior (Albert pp22-26).txt
2.4 Using a beta prior (Albert pp22-26).txt
 
 
2.5 Using a histogram prior (pp 27-28).txt
2.5 Using a histogram prior (pp 27-28).txt
 
 
2.6 Prediction (Albert pp. 28-33).txt
2.6 Prediction (Albert pp. 28-33).txt
 
 
3 Single parameter models (pp.39-44).txt
3 Single parameter models (pp.39-44).txt
 
 
3.4 Bayesian Robustness (pp. 44-49).txt
3.4 Bayesian Robustness (pp. 44-49).txt
 
 
3.5 Mixture of Conjugate Priors (Biased Coin) (pp.49-52).txt
3.5 Mixture of Conjugate Priors (Biased Coin) (pp.49-52).txt
 
 
3.6 A Bayesian Test of the Fairness of Coin (pp. 52-56).txt
3.6 A Bayesian Test of the Fairness of Coin (pp. 52-56).txt
 
 
4.2 Normal data with both parameters unknown (pp. 63-65).txt
4.2 Normal data with both parameters unknown (pp. 63-65).txt
 
 
4.3 A multinomial model (pp.66-69).txt
4.3 A multinomial model (pp.66-69).txt
 
 
4.4 Bioessay experiment (pp69-75).txt
4.4 Bioessay experiment (pp69-75).txt
 
 
4.5 Comparing Two Proportions (pp75-79).txt
4.5 Comparing Two Proportions (pp75-79).txt
 
 
5.3 Settng up a problem in R.txt
5.3 Settng up a problem in R.txt
 
 
5.4 A Beta-Binomial Model for Overdispersion
5.4 A Beta-Binomial Model for Overdispersion
 
 
5.4 A Beta-Binomial Model for Overdispersion(txt).txt
5.4 A Beta-Binomial Model for Overdispersion(txt).txt
 
 
5.6 The example (p.95).txt
5.6 The example (p.95).txt
 
 
5.7 Monte Carlo method for computing integrals.txt
5.7 Monte Carlo method for computing integrals.txt
 
 
README.md
README.md
 
 

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Bayesian-Computing---Albert-with-notes

This repo contains R codes from Bayesian Computation with R by Jim Albert - I simply added my notes.

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This repo is from Bayesian Computing by Jim Albert, I simply added my notes as I learn from it.

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