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www.huber.embl.de | ||
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freerangestats.info
I look at some unusual data where the median was higher than the mode, and show how to model it in Stan as a mixture of two negative binomial distributions. |
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dm13450.github.io
In my previous article I showed how you can use the dirichletprocess package for non-parametric density estimation. This time I will demonstrate how you can use the package to create your own mixture models. The ease of creating your own mixture models is the main advantage of our dirichletprocess package compared to the others out there. By using the S3 class system in R, you can easily build your own Dirichlet process mixture of what ever distribution you want. |
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www.unofficialgoogledatascience.com
by STEVEN L. SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data scien... |
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jrhawley.ca
Science and statistics are hard. There are lots of reasons that can make things go wrong, and it's important to remember that when looking at p-values and hypothesis tests. |
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