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Author Archives: phewson
Motorcycle fatalities in the GB (excluding Wales)
(Sorry Wales, I just haven’t figured a way of sorting out the population histories given the local government reorganizations that went with Devolution) These two figures show Lexis diagrams for (a) the number of reported motorcycle fatalities in … Continue reading
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Lexis Diagrams for Road Injuries
This is based on the crude road injury rate (all injuries), and a reconstructed population up to 90 for England and Scotland from 1985 to the end of 2014. The colors show the injury rate (per capita), for all … Continue reading
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Barnard’s views on statistical education (from
I really enjoy reading Deborah Mayo’s blog. I don’t really understand enough about the underlying philosophy – and even gently reading about ideas such as Popper asking for severe challenges (rather than out and out falsifiability) bring this home. … Continue reading
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Regression notation
Aaargh. A A R G H. I like David Freedman’s book on Statistical Modelling. I like it a lot, and I particularly like the clarity. It’s very clear that is a population parameter, a fixed but unknown constant (OK, so … Continue reading
Developing code
The wonder of the blogosphere is that I rediscovered a paper I had been meaning to think about for a long time: the paper reports Cook, Gelman and Rubin’s proposals that we: Specify a model and then simulate parameters from … Continue reading
Posted in pymc, Uncategorized
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Emerging thoughts on the Poisson as a limit of the Binomial
I am trying to set down some thoughts on the relationship between the Binomial and the Poisson. The specific problem emerges from modelling data where I assume and . The specific problem is that I assume that and are correlated in … Continue reading
Python Notebook
It has been a busy year, for various reasons. However, one loose end that urgently needs tidying up are an assortment of bits and pieces relating to the use of python as a computing language. Somewhere during the year the … Continue reading
Posted in iPython notebook, McMC
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My Mean Square Error Confusions
Mean square error is defined as . To be defined, it requires that is fixed, constant (albeit unknown). In other words, it’s a very frequentist thing, but it’s such a dominant way of evaluating the performance of estimators that it … Continue reading
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Mark Glickman’s Music Page
I’d really like to go to “Valencia” sometime, if nothing else just for the music. There are some great song parodies here: Mark Glickman’s Music Page. Seems Bayesians have all the fun here.
Posted in Bayesian philosophy
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Multilevel Ordinal Logistic Regression in pymc
I think I’m finally getting closer to having the code to fit a proportional odds logistic regression model in pymc. There are still a few little places where the code could be tidied up (I’ve yet to figure out how … Continue reading