Author Archives: drewancameron

Boxing to watch on boxing day …

I realise that the origin of the holiday name is not the sport, but it’s a great chance to catch up on two fight of the year contenders, both coming out of the World Boxing Super Series program (both available … Continue reading

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RDT to Microscopy conversion is neither trivial nor unimportant …

A common criticism of malaria mapping work that I’ve been involved with runs to the effect that we don’t do the right thing when we correct for the difference between rapid diagnostic test (RDT) estimates of parasite prevalence and microscopic … Continue reading

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Astronomers invented Bayesian optimisation in 2019 …

Long time readers of this blog will know that I’ve been bigging up the potential of Bayesian optimisation approaches for fitting expensive astronomical simulations for many years now.  In particular, when likelihood function computations are computationally very expensive and possibly … Continue reading

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Normalizing constants from normalizing flows …

A recent arXival presents a method for estimating the marginal likelihood (or ‘evidence’) based on the technique of normalizing flows.  Normalising flows (mentioned in a previous post on modelling the colour-magnitude diagram) are a model for density estimation in which … Continue reading

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Exoplanetary atmosphere retrieval: still not distinguishing between generalities and specifics

I noticed a recent arXival by the group using random forests to approximate Bayesian posteriors from pre-computed model grids of exoplanetary atmosphere (or, this time, brown dwarf) spectra.  Once again I feel that there remains a fundamental misunderstanding of the … Continue reading

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Everyone wants a pop at the champ (part 1) …

One of the downsides of leading research in a particular field—which is what the Malaria Atlas Project team does w.r.t. probabilistic risk mapping of malaria burden—is that certain other research groups inevitably get tired of playing catch up and start … Continue reading

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Dataset splitting to probe misspecification …

A recent arXival motivated by CMB experiment posteriors presents a heuristic for understanding the expected degree to which adding new data should reshape the posterior of a well-specified model (under the ‘nice’ scenario that the experimental data overwhelms the influence … Continue reading

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