Metropolis Algorithm and Bayesian posterior sampling

Metropolis Light Transport (<a href="http:&#x2F;&#x2F;graphics.stanford.edu&#x2F;papers&#x2F;metro&#x2F;" rel="nofollow">http:&#x2F;&#x2F;graphics.stanford.edu&#x2F;papers&#x2F;metro&#x2F;</a>) is a clever rendering technique based on this sampling technique applied to light paths.

What&#x27;s the rationale behind 100 as the thinning factor? Just a conservative number based on the autocorrelation length?

Can anyone here recommend a good reference (blog, e-book, etc.) for beginners in Bayesian statistical analysis?