Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Jerome P Reiter"'
Autor:
Zeki Kazan, Jerome P. Reiter
Publikováno v:
Statistica Sinica.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c87cb82aee04bedd7a1e76798166a02
https://doi.org/10.5705/ss.202022.0187
https://doi.org/10.5705/ss.202022.0187
Autor:
Linlin Li, Jerome P Reiter
Publikováno v:
Journal of Survey Statistics and Methodology. 10:785-803
Recently, several organizations have considered using differentially private algorithms for disclosure limitation when releasing count data. The typical approach is to add random noise to the counts sampled from, for example, a Laplace distribution o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfabc4266d9b555dd4f74be19ff36234
https://doi.org/10.1093/jssam/smab060
https://doi.org/10.1093/jssam/smab060
Autor:
Jerome P. Reiter, Bo Liu
Publikováno v:
The American Statistician. 76:323-328
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3278c101fdbc751035521bb19ac34861
https://doi.org/10.1080/00031305.2021.2006780
https://doi.org/10.1080/00031305.2021.2006780
Autor:
Jerome P. Reiter
Publikováno v:
The Journal of Privacy and Confidentiality, Vol 8, Iss 1 (2018)
Steve Fienberg had an enormous influence on how I think about statistical science and a huge impact on my career. Steve's research is of course legendary; he made fundamental contributions to Bayesian inference, categorical data analysis, disclosure
Externí odkaz:
https://doaj.org/article/8e423bc030904264b8a2b8902580eaa0
Autor:
Jerome P. Reiter
Publikováno v:
Revstat Statistical Journal, Vol 16, Iss 2 (2018)
We present a joint modeling approach for multiple imputation of missing continuous and categorical variables using Bayesian mixture models. The approach extends the idea of focused clustering, in which one separates variables into two sets before est
Externí odkaz:
https://doaj.org/article/93a84e61e53040cf8570ad7934900661
Autor:
Jerome P. Reiter
Publikováno v:
Administrative Records for Survey Methodology. :139-153
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de34b74ec1b2d113a0175e61d0d6164c
https://doi.org/10.1002/9781119272076.ch6
https://doi.org/10.1002/9781119272076.ch6
Publikováno v:
J R Stat Soc Ser A Stat Soc
Often, government agencies and survey organizations know the population counts or percentages for some of the variables in a survey. These may be available from auxiliary sources, for example, administrative databases or other high quality surveys. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e49abd6125347b5f639cc54b0a5a43f
https://doi.org/10.1111/rssa.12635
https://doi.org/10.1111/rssa.12635
Autor:
Nrupen A. Bhavsar, Cordt T. Kassner, Brystana G. Kaufman, Matthew Harker, Laura Sheble, David Klemish, Andrew Olson, Donald H. Taylor, Benjamin A. Goldstein, Jerome P. Reiter
Publikováno v:
J Palliat Med
Background: Hospital referral regions (HRRs) are often used to characterize inpatient referral patterns, but it is unknown how well these geographic regions are aligned with variation in Medicare-financed hospice care, which is largely provided at ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb4952310eb75b87d1b9d11dfd4ae531
https://doi.org/10.1089/jpm.2019.0056
https://doi.org/10.1089/jpm.2019.0056
In many scenarios, the observational data needed for causal inferences are spread over two data files. In particular, we consider scenarios where one file includes covariates and the treatment measured on one set of individuals, and a second file inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f89ad82a8bcf60856e0f3323f5938e7b
http://hdl.handle.net/11562/1058417
http://hdl.handle.net/11562/1058417
Autor:
Mauricio Sadinle, Jerome P. Reiter
Publikováno v:
Biometrika. 106:889-911
Summary We study a class of missingness mechanisms, referred to as sequentially additive nonignorable, for modelling multivariate data with item nonresponse. These mechanisms explicitly allow the probability of nonresponse for each variable to depend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b9aa2cb66ddd678e34ee2ca51c5512a
https://doi.org/10.1093/biomet/asz054
https://doi.org/10.1093/biomet/asz054