Anonymized data supporting the paper "Transfer learning for mortality risk: A case study on the United Kingdom"

Dataset Description transfer_predictions_anonymized_UK Minimal anonymized data set necessary to replicate the trasnfer methodology for the UK on age and gender grouping level. Variables present are age, gender, predicted mortality rates, deaths and exposure. The predictions are based on the synthetic dataset of UK - details can be found here (PDF) Transfer learning for mortality risk: A case study on the United Kingdom). cmi_blended_rates We utilize the ’16’ series 95mortality tables from Working Paper 154 for the evaluation purposes, given the absence of an actual UK portfolio for comparison. More details can be found on CMI website.

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Found an issue? Give us feedback

0

Average