Model averaging has long been proposed as a powerful alternative to model selection in regression analysis. However, how well it performs in high-dimensional regression is still poorly understood.

In high-dimensional data analysis, we propose a sequential model averaging (SMA) method to make accurate and stable predictions. Specifically, we introduce a hybrid approach that combines a sequential ...

A dimensional model is a type of data model that is less rigid and structured than other types of models. It is best for a contextual data structure that is more related to the business use or ...

Aviv intends to use the Series B funding to rapidly expand its global clinic footprint in the United States, Europe and Asia; grow its in-depth high dimensional OMICS database; bolster its ...

The Helsinki Multi-Model Dataset Repository collects and integrates publicly available datasets in diverse formats, and provides statistics on the datasets, for use in research experiments. Patent ...