Reversible Jump MCMC
I want to introduce RJMCMC and demonstrate how it can be programmed in Stata. To understand this algorithm, you really do need to know a little about the basis of Metropolis-Hastings, so this week I will run through the ideas behind the equations. A bit of algebra I am afraid, but once it is out […]
Back to Google Flu Trends
It has been rather a long gap since my last posting but I am told that the re-direction virus has been cleared from the host’s server so I am going to return to the topic of fitting Bayesian models to flu epidemics using the Google Flu Trends data (https://en.wikipedia.org/wiki/Google_Flu_Trends). Google’s project created estimates of the number of cases of […]
Google Flu Trends Part II
Last week I discussed Google Flu Trends a project that provided weekly estimates of the number of flu cases in 25 different countries based on the frequency of internet searches for influenza related terms (https://en.wikipedia.org/wiki/Google_Flu_Trends). Sadly Google have stopped producing these estimates but historical data are still available for download. Presumably Google gave up when faced with […]
Google Flu Trends
I am always on the lookout for interesting medical data sets that I can use for teaching and the other day, quite by accident, I came across “Google flu trends”. This is an internet project operated by Google that estimates the numbers of cases of influenza each week in 25 different countries. The records go back to […]
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