Work

Computationally efficient Bayesian unit-level random neural network modelling of survey data under informative sampling for small area estimation

Year: 2023

Type: article

Source: Journal of the Royal Statistical Society Series A (Statistics in Society)

DOI: 10.1093/jrsssa/qnad033

Authors: Paul A Parker, Scott H Holan

Institutions: University of California, Santa Cruz, United States Census Bureau, University of Missouri

Language: English

Topic: Survey Sampling and Estimation Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Awards: Collaborative Research: Randomization Based Machine Learning Methods in a Bayesian Model Setting for Data From a Complex Survey or Census, Collaborative Research: Multi-distribution, Multivariate, and Multiscale Spatio-Temporal Models with Applications to Official Statistics, Collaborative Research: Randomization Based Machine Learning Methods in a Bayesian Model Setting for Data From a Complex Survey or Census

OpenAlex ID: W4353027872

FWCI: 1.085

Cites: 23

Cited by: 7

Related to: 10