**F**ollowing the earlier errata on * Monte Carlo Statistical Methods*, I received this email from Nick Foti:

I have a quick question about example 8.2 inwhich derives a slice sampler for a truncated N(-3,1) distribution (note, the book says it is a N(3,1) distribution, but the code and derivation are for a N(-3,1)). My question is that the slice set AMonte Carlo Statistical Methods^{(t+1)}is described as

which makes sense if u ~ U(0,1) as it corresponds to the previously described algorithm. However, in the errata for the book it says that u should actually be u^{(t+1)}which according to the algorithm should be distributed as U(0,f_{1}(x)). So unless something clever is being done with ratios of the f_{1}‘s, it seems like the u^{(t+1)}should be U(0,1) in this case, right?

**T**here is indeed a typo in Example 8.4: the mean 3 should be -3… As for the errata, it addresses the missing time indices. Nick is right in assuming that those uniforms are indeed on *(0,1)*, rather than on *(0,f _{1}(x))* as in Algorithm A.31. Apologies to all those confused by the errata!