cvBMS and cvBMA: filling in the gaps
Methodology
2018-07-05 v1 Neurons and Cognition
Abstract
With this technical report, we provide mathematical and implementational details of cross-validated Bayesian model selection (cvBMS) and averaging (cvBMA) that could not be communicated in the corresponding peer-reviewed journal articles. This will allow statisticians and developers to comprehend internal functionalities of cvBMS and cvBMA for further development of these techniques.
Keywords
Cite
@article{arxiv.1807.01585,
title = {cvBMS and cvBMA: filling in the gaps},
author = {Joram Soch},
journal= {arXiv preprint arXiv:1807.01585},
year = {2018}
}
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14 pages, 0 figures