Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Loong, Bronwyn"'
There is a growing trend among statistical agencies to explore non-probability data sources for producing more timely and detailed statistics, while reducing costs and respondent burden. Coverage and measurement error are two issues that may be prese
Externí odkaz:
http://arxiv.org/abs/2405.14208
A natural way to quantify uncertainties in Gaussian mixture models (GMMs) is through Bayesian methods. That said, sampling from the joint posterior distribution of GMMs via standard Markov chain Monte Carlo (MCMC) imposes several computational challe
Externí odkaz:
http://arxiv.org/abs/2311.03644
Copula-based methods provide a flexible approach to build missing data imputation models of multivariate data of mixed types. However, the choice of copula function is an open question. We consider a Bayesian nonparametric approach by using an infini
Externí odkaz:
http://arxiv.org/abs/1910.05473
Publikováno v:
In Economic Modelling November 2022 116
We propose a copula based method to handle missing values in multivariate data of mixed types in multilevel data sets. Building upon the extended rank likelihood of \cite{hoff2007extending} and the multinomial probit model, our model is a latent vari
Externí odkaz:
http://arxiv.org/abs/1702.08148
Autor:
Loong, Bronwyn
Releasing synthetic data in place of observed values is a method of statistical disclosure control for the public dissemination of survey data collected by national statistical agencies. The overall goal is to limit the risk of disclosure of survey r
Externí odkaz:
http://dissertations.umi.com/gsas.harvard:10323
http://nrs.harvard.edu/urn-3:HUL.InstRepos:9527319
http://nrs.harvard.edu/urn-3:HUL.InstRepos:9527319
Autor:
Kengen, Roel, Thoonen, Elcke, Daveson, Kathryn, Loong, Bronwyn, Rodgers, Helen, Beckingham, Wendy, Kennedy, Karina, Suwandarathne, Ruwan, van Haren, Frank
Publikováno v:
In Critical Care and Resuscitation September 2018 20(3):231-240
Publikováno v:
In Critical Care and Resuscitation September 2016 18(3):157
Autor:
William, Jananie1 jananie.william@anu.edu.au, Loong, Bronwyn1, Chojenta, Catherine2, Loxton, Deborah2
Publikováno v:
Annals of Actuarial Science. Mar2020, Vol. 14 Issue 1, p129-137. 9p.
Autor:
Loong, Bronwyn1 bronwyn.loong@anu.edu.au, Rubin, Donald B.2 rubin@stat.harvard.edu
Publikováno v:
Journal of Official Statistics (JOS). Dec2017, Vol. 33 Issue 4, p1005-1019. 15p.