bayes notes:

bayes intro, simple conjugate analysis for p and mu: bayes_intro.pdf  

change of variables notes: change_of_variable.pdf  

simple R script to draw from prior and post of beta-binomial conjugate model: do.R  

bayesian univariate regression:  bayes_regression.pdf  

markov chain monte carlo, markov chains and gibbs sampling: mcmc1.pdf

R script to draw from discrete: rdisc.R
   
R script to simulate discrete markov chain: sim_disc-markov.R  

R script to run classic bivariate normal gibbs sampler: bivar_nor_example.R  

markov chain monte carlo, the metropolis-hastings algorithm: mcmc2.pdf  

metrop.R  : script to simply illustrate various mcmc schemes.


Rute "trivial" introduction to C:  ruteUser_2up.pdf  

stochastic search variable selection: ssvs001.pdf  

graphical models:  graphical_models001.pdf  

hierarchical normal means model: hier_latent001.pdf  

multivariate notes:  multivariate_regression.pdf    

conditionally conjugate multivariate notes: mult_reg_indep_prior.pdf    

multinomial probit  mprobit.pdf

ar : arp_notes.pdf  

state space models, ffbs: kalmanFilter.pdf  

R interfaced with C:  r-and-c_example.zip  

R and C++ :  simp_R-C++_example.zip