Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. One of my students complained that his slice sampler of a Poisson distribution was not working when following the instructions in Monte Carlo Statistical Methods (Exercise 8.5). This puzzled me during my early morning run and I checked on my way back, even before attacking the fresh baguette I had brought from the bakery… The following R code is the check. And it does work! As the comparison above shows…

slice=function(el,u){
#generate uniform over finite integer set
x=mode+1
while (dpois(x,el)>u){
sli=c(sli,x);x=x+1}
x=mode-1
while (dpois(x,el)>u){
sli=c(sli,x);x=x-1}
return(sample(sli,1))}

#example
T=10^4
lambda=2.414

x=rep(floor(lambda),T)
for (t in 2:T)
x[t]=slice(lambda,runif(1)*dpois(x[t-1],lambda))

barplot(as.vector(rbind(
table(x)/length(x),dpois(0:max(x),
lambda))),col=c("sienna","gold"))


Filed under: Books, Kids, pictures, R, Running, Statistics, University life Tagged: ENSAE, Monte Carlo Statistical Methods, Poisson distribution, R, slice sampling  