Previously, you've seen how you can select ways of assessing your model fit metrics like MSE, SSE, and $R^2$. These values almost always improve when adding more ...

In inferential statistics, we compare model selections using $p$-values or adjusted $R^2$. Here we will take the Bayesian propectives. We are going to discuss the ...

Model-based molecular phylogenetics plays an important role in comparisons of genomic data, and model selection is a key step in all such analyses. We present ModelFinder, a fast model-selection ...

Abstract: Several clustering approaches are adapted to binned data in order to accelerate the clustering process or to deal with data of limited precision. Bin-EM-CEM algorithms of fourteen ...