Forecasting of commercial sales with large scale Gaussian Processes

This paper argues that there has not been enough discussion in the field of applications of Gaussian Process for the fast moving consumer goods industry. Yet, this technique can be important as it e.g., can provide automatic feature relevance determination and the posterior mean can unlock insights on the data. Significant challenges are the large size and high dimensionality of commercial data at a point of sale. The study reviews approaches in the Gaussian Processes modeling for large data sets, evaluates their performance on commercial sales and shows value of this type of models as a decision-making tool for management.Comment: 1o pages, 5 figure

Additional file 5: of Whole-transcriptome analysis delineates the human placenta gene network and its associations with fetal growth

Mapping of GWAS-linked genes in placental gene coexpression network. Genes linked to GWAS-associated traits that are enriched in the placental gene coexpression network are listed alongside assigned modules and GWAS-linked traits. (CSV 58 kb