GitHub

Feature and Model Selection: AIC and BIC

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 ...
IEEE

Model Selection with BIC and ICL Criteria for Binned Data Clustering by Bin-EM-CEM Algorithms

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 ...
Nature

ModelFinder: fast model selection for accurate phylogenetic estimates

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 ...
Scientific Research Publishing

Chakrabarti, A. and Ghosh, J.K. (2011) AIC, BIC and Recent Advances in Model Selection. In: Bandyopadhyay, P.S. and Forster, M.R., Eds., Philosophy of Statistics, Elsevier, 583 ...

ABSTRACT: The energy sector is the second largest emitter of greenhouse (GHG) gases in Kenya, emitting about 31.2% of GHG emissions in the country. The aim of this study was to model Kenya’s GHG ...