Absolutely. Not all applications of Bayesian analysis are computationally-intensive. In some cases (an example: finding of single-nucleotide polymorphisms in ne

Absolutely. Not all applications of Bayesian analysis are computationally-intensive. In some cases (an example: finding of single-nucleotide polymorphisms in next-gen sequencing data), Bayesian analysis comes down to multiplying prior probability of a SNP (for humans, 0.001 per genome position) by a few other numbers from the data itself to obtain posterior probability, which can be done in a linear time in a few minutes on tens of gigabytes of NGS data. And the best part is, no Bonferroni adjustment bullshit!