Analysis Paralysis: A Must-Read Paper on Cosmology Theory/Data

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The discussion highlights a recommended paper on cosmology that simplifies complex concepts like Bayesian methods and Markov Chain Monte Carlo. A key quote emphasizes skepticism towards claims of having no assumptions in data analysis. The paper also addresses contemporary issues in cosmology, making it relevant for readers. An amusing figure from the paper adds a light-hearted element to the discussion. Overall, the paper serves as a valuable resource for understanding the interplay between cosmological theory and data.
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Do your eyes glaze over when the word 'bayesian' appears in an article? Does the phrase 'markov chain monte carlo' evoke visions of exotic European travel destinations? Then, here is a paper you simply must read; http://arxiv.org/abs/1403.1260, Cosmology: from theory to data, from data to theory. This quote in section 3.2 stood out as noteworthy '... For this reason, whenever someone (Bayesian or frequentist) tells you "we did not have to assume anything", do not trust them.' Also amusing is Fig 21 - The wolf and the seven little kids. As a bonus, the paper also neatly addresses some hot issues in modern cosmology.
 
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