Gaussian Process Models For Mortality Rates And Improvement Factors
Work
Year: 2018
Type: article
Abstract: We develop a Gaussian process (GP) framework for modeling mortality rates and mortality improvement factors. GP regression is a nonparametric, data-driven approach for determining the spatial depende... more
Source: Astin Bulletin
Authors Michael Ludkovski, Jimmy Risk, Howard Zail
Institutions University of California, Santa Barbara, Pomona College, California State Polytechnic University
Cites: 43
Cited by: 25
Related to: 10
FWCI: 9.965
Citation percentile (by year/subfield): 100
Subfield: Demography
Field: Social Sciences
Domain: Social Sciences
Sustainable Development Goal Good health and well-being
Open Access status: bronze