Author Archives: jmichaelburgess

Polarizing Bayesian approaches: why literature matters [Guest post: J. Michael Burgess]

As Bayesian buzzwords continue to pop onto arXiv daily, one often runs across ad hoc methods for Monte Carlo integration of posteriors. Of course, there are ready-made tools that can be downloaded and easily used for most problems, still, one … Continue reading

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