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Abstract: Johannes will cover some methods for tasks astronomers face daily:
(1) Measuring a quantity of an astrophysical object (e.g. luminosity) under uncertainty
(2) Combining multiple such uncertain objects for understanding the distribution of the population, sometimes under censorship.
(3) Comparing complex models of physical effects.
He will give a comparison of Markov Chain Monte Carlo and nested sampling algorithms, and review the state-of-the-art in nested sampling (MultiNest, PolyChord and beyond). New algorithms and easy-to-use implementations, including (Py)MultiNest and Stan, today make powerful tools available for analysing real problems with sufficient complexity.
As usual we will offer fruits, snacks and soft drinks in our lounge area.