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- Ch.10
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- Ch.20
- Ch.21
- Ch.22
- Ch.23
- Ch.24
- Ch.25
- Ch.3
- Ch.4
- Ch.5
- Ch.6
- Ch.7
- Ch.8
- Ch.9
- BPA
- Ch.03
- Ch.04
- Ch.05
- Ch.06
- Ch.07
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- Ch.09
- Ch.10
- Ch.11
- Ch.12
- Ch.13
- Bayesian_Cognitive_Modeling
- GettingStarted
- ParameterEstimation/Binomial
- applications/covid-19/imperial_model
- basic_distributions
- basic_estimators
- bugs_examples
- vol1
- blocker
- bones
- dogs
- dyes
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- kidney
- leukfr
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- litter
- lsat
- magnesium
- mice
- oxford
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- salm
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- stacks
- surgical
- vol2
- air
- alli
- beetles
- birats
- cervix
- dugongs
- endo
- eyes
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- ice
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- mvn_orange
- orange
- pines
- schools
- stagnant
- t_df
- vol3
- camel
- data_cloning
- fire
- funshapes
- hepatitis
- education
- causal_rct
- dina_independent
- hierarchical_2pl
- tutorial_twopl
- jupyter/covid-inf-rate/stan
- knitr
- bandits
- bradley-terry
- car-iar-poisson
- update_2021_02
- chapter1
- chapter2
- climate-challenge
- convert-odes
- cook_et_al
- disease_transmission
- dorazio-royle-occupancy
- golf
- hmm-example
- irt
- lotka-volterra
- mle-params
- neural-nets
- noisy-raters
- dawid-skene
- raykar-etal
- pest-control/stan_programs
- planetary_motion/model
- pool-binary-trials
- ratings
- reduce-sum
- sex-ratio
- simplest-regression
- single-exponential
- soil-carbon
- sum-of-exponentials
- world-cup
- misc
- cluster
- lda
- naive-bayes
- soft-k-means
- dlm
- ecology
- mark-recapture
- occupancy
- eight_schools
- funnel
- gam
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- gaussian-process
- hier_multivariate
- hmm
- irt
- linear-regression
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- nnmf
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