Monthly Archives: October 2019

On unnecessarily general paper titles

Last week a postdoc in my lab received a rejection letter from a high profile stats journal, with the reason for rejection given being that the problem was already solved in existing software such as INLA.  Which was odd because … Continue reading

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Priors make models like styles make fights …

A ubiquitous saying in boxing analysis is “styles make fights”, which means that to predict what a match up will look like you need to think about how the characteristic styles of the two opponents might work (or not) with … Continue reading

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How to push back against bullies in academia

I’m sure most of us know of at least one notorious workplace bully (or other type of shithead) in our field; the kind of professor about whom there’s an open secret of their bad behaviour, but given that universities don’t … Continue reading

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Copula models for astronomical distributions

Yesterday I read through this new arXival by an old friend from my ETH Zurich days, in which is presented a package (called LEO-py) for likelihood-based inference in the case of Gaussian copula models and linear regressions with missing data, … Continue reading

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