A fractional Poisson process fitted to California wildfire data with λ=0.69 and β=0.8 is reported to predict the next ten fire dates about 90% more accurately than a Poisson process.
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Modelling and prediction of the wildfire data using fractional Poisson process
A fractional Poisson process fitted to California wildfire data with λ=0.69 and β=0.8 is reported to predict the next ten fire dates about 90% more accurately than a Poisson process.