Blog Archives

Success rates for EPSRC proposals

December 12, 2013
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Success rates for EPSRC proposals

Email In my last post, I looked at the success rates for EPSRC Fellowship applications using funnel plots. As luck would have it, Alex Hulkes and Derek Gillespie from EPSRC then got it touch to say that they had done a similar internal analysis and would I be interested in the data? Yes please! The

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Success rates for EPSRC Fellowships

November 18, 2013
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Success rates for EPSRC Fellowships

Email I was recently at a presentation where the success rates for EPSRC fellowships were given by theme. The message of the talk was that Engineering fellowships were under-subscribed and so we should all be preparing our applications. But just because a theme is under-subcribed doesn’t mean that you’ve got a better chance of getting

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New R package: scholar

October 23, 2013
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New R package: scholar

My new R package, scholar, has just been posted on CRAN. The scholar package provides functions to extract citation data from Google Scholar. In addition to retrieving basic information about a single scholar, the package also allows you to compare multiple scholars and predict future h-index values. There’s a full guide on Github (along

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Gaussian Processes with RStan

August 19, 2013
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Gaussian Processes with RStan

Email Previously I looked at how to simulate Gaussian processes in R, following the methods in Rasmussen and Williams. But now that Andrew Gelman et al. (of

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We NEED more data

November 22, 2012
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We NEED more data

Email One of the historic difficulties of doing research on urban energy systems has been the limited availability of data at sufficiently detailed spatial resolutions. Without this data, you might end up relying on aggregate information about the built environment, building occupants, and local geography that doesn't apply to the specifics of a particular neighbourhood

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What have I been doing all these years?!

August 11, 2012
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What have I been doing all these years?!

In which Mo Farah et al show James that he's got a nasty heel-strike

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Gaussian process regression with R

April 5, 2012
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Gaussian process regression with R

I’m currently working my way through Rasmussen and Williams’s book on Gaussian processes. It’s another one of those topics that seems to crop up a lot these days, particularly around control strategies for energy systems, and thought I should be able to at...

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Grrr…

November 15, 2011
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Grrr…

I’ve been working through Gelman et al.’s otherwise excellent Bayesian Data Analysis and it’s going reasonably well. My statistics is a little bit rusty so it’s taken time to work through all of the exercises and really understand what’s going on. But I...

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Sampling for Monte Carlo simulations with R

October 31, 2011
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Sampling for Monte Carlo simulations with R

I've knocked together a quick function for generating efficient Monte Carlo samples. It takes a bit of the legwork out of running Monte Carlo simulations.

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Getters and setters in R

August 12, 2011
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Tweet When I first started using R, one of the things that attracted me was its claim to be an object-oriented programming (OOP) language. Coming from a Java background, I was used to designing software with OOP concepts like encapsulation and inheritance but, when I turned my hand to R, I quickly...

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