Functional regression approximate Bayesian computation for Gaussian process density estimation
Work
Year: 2016
Type: article
Institutions UNSW Sydney, Coordenação de Aperfeicoamento de Pessoal de Nível Superior, Ministry of Education, National University of Singapore
Cites: 35
Cited by: 12
Related to: 10
FWCI: 1.203
Citation percentile (by year/subfield): 83.45
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder Australian Research Council
Grant ID DP1092805