3 papers
q-fin.CP2022
Applying separative non-negative matrix factorization to extra-financial data
P Fogel, C Geissler, P Cotte +1
We present here an original application of the non-negative matrix factorization (NMF) method, for the case of extra-financial data. These data are subject to high correlations bet…
stat.AP2021
Case Study: Evaluation of a meta-analysis of the association between soy protein and cardiovascular disease
S. Stanley Young, Warren B. Kindzierski, Douglas Hawkins +2
It is well-known that claims coming from observational studies most often fail to replicate. Experimental (randomized) trials, where conditions are under researcher control, have a…
stat.AP2013
Permuted NMF: A Simple Algorithm Intended to Minimize the Volume of the Score Matrix
Paul Fogel
Non-Negative Matrix Factorization, NMF, attempts to find a number of archetypal response profiles, or parts, such that any sample profile in the dataset can be approximated by a cl…